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- docs/paper/community/contributions/yeast_process_flowcharts_paper.html +1 -602
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- docs/paper/community/contributions/yeast_top_10_processes.html +21 -407
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G --> H[CDK2 Activation]
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H --> I[G1/S Transition]
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I --> J[DNA Replication Initiation]
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%% Checkpoint mechanisms
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K[DNA Damage] --> L[p53 Activation]
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L --> M[p21 Induction]
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M --> N[CDK Inhibition]
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N --> O[G1 Arrest]
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%% Growth factor dependency
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P[Growth Factor Withdrawal] --> Q[Cyclin D Degradation]
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Q --> R[CDK Inactivation]
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R --> S[Rb Hypophosphorylation]
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S --> T[E2F Sequestration]
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T --> U[Cell Cycle Exit]
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%% Quality control
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J --> V[Replication Licensing Check]
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V --> W{All Origins Licensed?}
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W -->|Yes| X[Proceed to S Phase]
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W -->|No| Y[Licensing Repair]
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Y --> V
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%% Key regulators
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Z[Cyclin D] --> B
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AA[CDK4/6] --> C
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BB[Rb] --> D
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CC[E2F] --> E
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DD[p53] --> L
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EE[p21] --> M
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%% Styling
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style A fill:#ff6b6b
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style B fill:#4ecdc4
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style C fill:#4ecdc4
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style D fill:#4ecdc4
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style E fill:#45b7d1
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style F fill:#4ecdc4
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style G fill:#4ecdc4
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style H fill:#4ecdc4
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style I fill:#96ceb4
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style J fill:#96ceb4
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style K fill:#ff6b6b
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style L fill:#feca57
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style M fill:#feca57
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style N fill:#4ecdc4
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style O fill:#96ceb4
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style P fill:#ff6b6b
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style Q fill:#4ecdc4
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style R fill:#4ecdc4
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style S fill:#4ecdc4
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style T fill:#4ecdc4
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style U fill:#96ceb4
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style V fill:#45b7d1
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style W fill:#45b7d1
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style X fill:#96ceb4
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style Y fill:#4ecdc4
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style Z fill:#feca57
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style AA fill:#feca57
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style BB fill:#feca57
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style CC fill:#feca57
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style DD fill:#feca57
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style EE fill:#feca57
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</div>
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</div>
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</div>
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<!-- TORC1 Nutrient Sensing -->
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<div class="process-showcase">
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<h3>📡 TORC1 Nutrient Sensing: The Biological Operating System</h3>
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<div class="process-description">
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<h4>Why This Process Reveals Cellular Intelligence</h4>
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<p>TORC1 nutrient sensing is the <strong>master controller of cellular metabolism</strong> - essentially the operating system kernel of the cell. It integrates multiple environmental inputs, makes complex resource allocation decisions, and coordinates system-wide responses. This process demonstrates how cells implement hierarchical control architectures.</p>
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<div class="key-insight">
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<strong>Operating System Architecture:</strong> TORC1 functions as a biological CPU that processes environmental data, manages resource allocation, and coordinates system-wide functions through sophisticated signaling networks.
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</div>
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</div>
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<div class="mermaid-container">
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<div class="mermaid">
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graph TD
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A[Nutrient Availability] --> B[TORC1 Complex]
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B --> C{High Nutrients?}
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C -->|Yes| D[Activate TORC1]
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C -->|No| E[Inhibit TORC1]
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D --> F[Phosphorylate S6K]
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D --> G[Phosphorylate 4E-BP]
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F --> H[Activate Protein Synthesis]
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G --> I[Release eIF4E]
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I --> H
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E --> J[Activate Autophagy]
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E --> K[Inhibit Protein Synthesis]
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%% Additional regulatory inputs
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L[Amino Acids] --> B
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M[Glucose] --> B
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N[Oxygen] --> B
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O[Rheb GTPase] --> D
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P[AMPK] --> E
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%% Feedback loops
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H --> Q[Protein Levels]
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Q --> R{Protein Sufficient?}
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R -->|Yes| S[Reduce Synthesis]
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R -->|No| T[Continue Synthesis]
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J --> U[Autophagy Products]
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U --> V[Nutrient Recycling]
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V --> B
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%% Styling
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style A fill:#ff6b6b
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style B fill:#feca57
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style C fill:#45b7d1
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style D fill:#4ecdc4
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style E fill:#4ecdc4
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style F fill:#4ecdc4
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style G fill:#4ecdc4
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style H fill:#96ceb4
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style I fill:#45b7d1
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style J fill:#96ceb4
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style K fill:#96ceb4
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style L fill:#ff6b6b
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style M fill:#ff6b6b
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style N fill:#ff6b6b
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style Q fill:#45b7d1
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style R fill:#45b7d1
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</div>
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</div>
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<!-- Heat Shock Response -->
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<div class="process-showcase">
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<h3>🔥 Heat Shock Response: Emergency Response System</h3>
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<div class="process-description">
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<h4>Why This Process Demonstrates Biological Intelligence</h4>
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| 544 |
-
<p>The heat shock response is a <strong>sophisticated emergency response system</strong> that detects stress, activates protective measures, and coordinates recovery. It demonstrates how cells implement interrupt handling, priority scheduling, and system recovery algorithms that rival the best crisis management software.</p>
|
| 545 |
-
|
| 546 |
-
<div class="key-insight">
|
| 547 |
-
<strong>Emergency Computing:</strong> This system implements real-time threat detection, automatic priority reallocation, and coordinated recovery protocols that demonstrate biological systems can handle complex crisis management better than most engineered systems.
|
| 548 |
-
</div>
|
| 549 |
-
</div>
|
| 550 |
-
<div class="mermaid-container">
|
| 551 |
-
<div class="mermaid">
|
| 552 |
-
graph TD
|
| 553 |
-
A[Heat Stress] --> B[HSF1 Activation]
|
| 554 |
-
B --> C[HSF1 Trimerization]
|
| 555 |
-
C --> D[HSF1 Phosphorylation]
|
| 556 |
-
D --> E[HSF1 Nuclear Localization]
|
| 557 |
-
E --> F[HSF1 Binding to HSE]
|
| 558 |
-
F --> G[HSP Gene Transcription]
|
| 559 |
-
G --> H[HSP Protein Synthesis]
|
| 560 |
-
H --> I[Protein Refolding]
|
| 561 |
-
I --> J[Cell Survival]
|
| 562 |
-
|
| 563 |
-
%% Additional regulatory mechanisms
|
| 564 |
-
K[Protein Misfolding] --> A
|
| 565 |
-
L[HSF1 Inhibitors] --> B
|
| 566 |
-
M[HSP90] --> D
|
| 567 |
-
N[HSP70] --> I
|
| 568 |
-
O[HSP60] --> I
|
| 569 |
-
|
| 570 |
-
%% Feedback regulation
|
| 571 |
-
I --> P[Protein Quality]
|
| 572 |
-
P --> Q{Proteins Refolded?}
|
| 573 |
-
Q -->|Yes| R[Reduce HSP Synthesis]
|
| 574 |
-
Q -->|No| S[Continue HSP Synthesis]
|
| 575 |
-
|
| 576 |
-
%% Stress resolution
|
| 577 |
-
J --> T[Temperature Normalization]
|
| 578 |
-
T --> U[HSF1 Deactivation]
|
| 579 |
-
U --> V[Return to Normal State]
|
| 580 |
-
|
| 581 |
-
%% Styling
|
| 582 |
-
style A fill:#ff6b6b
|
| 583 |
-
style B fill:#feca57
|
| 584 |
-
style C fill:#45b7d1
|
| 585 |
-
style D fill:#4ecdc4
|
| 586 |
-
style E fill:#45b7d1
|
| 587 |
-
style F fill:#4ecdc4
|
| 588 |
-
style G fill:#96ceb4
|
| 589 |
-
style H fill:#96ceb4
|
| 590 |
-
style I fill:#96ceb4
|
| 591 |
-
style J fill:#96ceb4
|
| 592 |
-
style K fill:#ff6b6b
|
| 593 |
-
style L fill:#feca57
|
| 594 |
-
style M fill:#feca57
|
| 595 |
-
style N fill:#feca57
|
| 596 |
-
style O fill:#feca57
|
| 597 |
-
style P fill:#45b7d1
|
| 598 |
-
style Q fill:#45b7d1
|
| 599 |
-
style R fill:#4ecdc4
|
| 600 |
-
style S fill:#4ecdc4
|
| 601 |
-
style T fill:#45b7d1
|
| 602 |
-
style U fill:#4ecdc4
|
| 603 |
-
style V fill:#96ceb4
|
| 604 |
-
</div>
|
| 605 |
-
</div>
|
| 606 |
-
</div>
|
| 607 |
-
|
| 608 |
-
<!-- RNA Splicing -->
|
| 609 |
-
<div class="process-showcase">
|
| 610 |
-
<h3>✂️ RNA Splicing: The Biological Compiler</h3>
|
| 611 |
-
<div class="process-description">
|
| 612 |
-
<h4>Why This Process Redefines Information Processing</h4>
|
| 613 |
-
<p>RNA splicing is <strong>biological compilation in action</strong> - it takes raw genetic code and processes it into executable instructions. The spliceosome implements sophisticated pattern recognition, alternative processing pathways, and quality control that rivals the most advanced compilers in computer science.</p>
|
| 614 |
-
|
| 615 |
-
<div class="key-insight">
|
| 616 |
-
<strong>Biological Compilation:</strong> The spliceosome functions as a biological compiler that processes genetic source code, implements alternative compilation strategies, and includes comprehensive error checking and optimization routines.
|
| 617 |
-
</div>
|
| 618 |
-
</div>
|
| 619 |
-
<div class="mermaid-container">
|
| 620 |
-
<div class="mermaid">
|
| 621 |
-
graph TD
|
| 622 |
-
A[Pre-mRNA] --> B[Spliceosome Assembly]
|
| 623 |
-
B --> C[Intron Recognition]
|
| 624 |
-
C --> D[Splicing Reaction]
|
| 625 |
-
D --> E[Mature mRNA]
|
| 626 |
-
|
| 627 |
-
%% Additional regulatory mechanisms
|
| 628 |
-
F[5' Splice Site] --> C
|
| 629 |
-
G[3' Splice Site] --> C
|
| 630 |
-
H[Branch Point] --> C
|
| 631 |
-
I[Polypyrimidine Tract] --> C
|
| 632 |
-
J[U1 snRNP] --> K[5' SS Recognition]
|
| 633 |
-
K --> B
|
| 634 |
-
L[U2AF] --> M[3' SS Recognition]
|
| 635 |
-
M --> B
|
| 636 |
-
N[U2 snRNP] --> O[Branch Point Recognition]
|
| 637 |
-
O --> B
|
| 638 |
-
P[U4/U6•U5 snRNP] --> Q[Catalytic Core Assembly]
|
| 639 |
-
Q --> B
|
| 640 |
-
|
| 641 |
-
%% Quality control mechanisms
|
| 642 |
-
E --> R[mRNA Quality Check]
|
| 643 |
-
R --> S{Splicing Correct?}
|
| 644 |
-
S -->|Yes| T[mRNA Export]
|
| 645 |
-
S -->|No| U[Nonsense-Mediated Decay]
|
| 646 |
-
|
| 647 |
-
%% Alternative splicing
|
| 648 |
-
V[Splicing Regulators] --> W[Alternative 5' SS]
|
| 649 |
-
W --> X[Isoform 1]
|
| 650 |
-
V --> Y[Alternative 3' SS]
|
| 651 |
-
Y --> Z[Isoform 2]
|
| 652 |
-
V --> AA[Exon Skipping]
|
| 653 |
-
AA --> BB[Isoform 3]
|
| 654 |
-
|
| 655 |
-
%% Styling
|
| 656 |
-
style A fill:#ff6b6b
|
| 657 |
-
style B fill:#4ecdc4
|
| 658 |
-
style C fill:#45b7d1
|
| 659 |
-
style D fill:#4ecdc4
|
| 660 |
-
style E fill:#96ceb4
|
| 661 |
-
style F fill:#ff6b6b
|
| 662 |
-
style G fill:#ff6b6b
|
| 663 |
-
style H fill:#ff6b6b
|
| 664 |
-
style I fill:#ff6b6b
|
| 665 |
-
style J fill:#feca57
|
| 666 |
-
style K fill:#45b7d1
|
| 667 |
-
style L fill:#feca57
|
| 668 |
-
style M fill:#45b7d1
|
| 669 |
-
style N fill:#feca57
|
| 670 |
-
style O fill:#45b7d1
|
| 671 |
-
style P fill:#feca57
|
| 672 |
-
style Q fill:#45b7d1
|
| 673 |
-
style R fill:#45b7d1
|
| 674 |
-
style S fill:#45b7d1
|
| 675 |
-
style T fill:#96ceb4
|
| 676 |
-
style U fill:#96ceb4
|
| 677 |
-
style V fill:#feca57
|
| 678 |
-
style W fill:#ff6b6b
|
| 679 |
-
style X fill:#96ceb4
|
| 680 |
-
style Y fill:#ff6b6b
|
| 681 |
-
style Z fill:#96ceb4
|
| 682 |
-
style AA fill:#4ecdc4
|
| 683 |
-
style BB fill:#96ceb4
|
| 684 |
-
</div>
|
| 685 |
-
</div>
|
| 686 |
-
</div>
|
| 687 |
-
|
| 688 |
-
<!-- Autophagy -->
|
| 689 |
-
<div class="process-showcase">
|
| 690 |
-
<h3>🔄 Autophagy: The Garbage Collection System</h3>
|
| 691 |
-
<div class="process-description">
|
| 692 |
-
<h4>Why This Process Reveals Cellular Resource Management</h4>
|
| 693 |
-
<p>Autophagy is the <strong>cellular garbage collection system</strong> - an elegant solution to resource management that automatically identifies, packages, and recycles cellular components. It demonstrates how biological systems implement sophisticated memory management and resource optimization algorithms.</p>
|
| 694 |
-
|
| 695 |
-
<div class="key-insight">
|
| 696 |
-
<strong>Biological Garbage Collection:</strong> Autophagy implements mark-and-sweep algorithms, automatic memory management, and resource recycling with efficiency levels that surpass most software garbage collectors.
|
| 697 |
-
</div>
|
| 698 |
-
</div>
|
| 699 |
-
<div class="mermaid-container">
|
| 700 |
-
<div class="mermaid">
|
| 701 |
-
graph TD
|
| 702 |
-
A[Nutrient Deprivation] --> B[TORC1 Inhibition]
|
| 703 |
-
B --> C[Atg1 Complex Activation]
|
| 704 |
-
C --> D[Phosphorylation of Atg13]
|
| 705 |
-
D --> E[Atg1-Atg13 Complex Formation]
|
| 706 |
-
E --> F[Vps34 Complex Activation]
|
| 707 |
-
F --> G[PI3P Production]
|
| 708 |
-
G --> H[Phagophore Formation]
|
| 709 |
-
H --> I[Atg8 Conjugation]
|
| 710 |
-
I --> J[Autophagosome Formation]
|
| 711 |
-
J --> K[Cargo Degradation]
|
| 712 |
-
|
| 713 |
-
%% Quality control mechanisms
|
| 714 |
-
K --> L[Autophagosome Maturation]
|
| 715 |
-
L --> M[Lysosome Fusion]
|
| 716 |
-
M --> N[Content Degradation]
|
| 717 |
-
N --> O[Nutrient Recycling]
|
| 718 |
-
O --> P[Cell Survival]
|
| 719 |
-
|
| 720 |
-
%% Feedback regulation
|
| 721 |
-
P --> Q[Nutrient Levels]
|
| 722 |
-
Q --> R{Sufficient Nutrients?}
|
| 723 |
-
R -->|Yes| S[Inhibit Autophagy]
|
| 724 |
-
R -->|No| T[Continue Autophagy]
|
| 725 |
-
|
| 726 |
-
%% Styling
|
| 727 |
-
style A fill:#ff6b6b
|
| 728 |
-
style B fill:#4ecdc4
|
| 729 |
-
style C fill:#4ecdc4
|
| 730 |
-
style D fill:#4ecdc4
|
| 731 |
-
style E fill:#45b7d1
|
| 732 |
-
style F fill:#4ecdc4
|
| 733 |
-
style G fill:#45b7d1
|
| 734 |
-
style H fill:#96ceb4
|
| 735 |
-
style I fill:#4ecdc4
|
| 736 |
-
style J fill:#96ceb4
|
| 737 |
-
style K fill:#96ceb4
|
| 738 |
-
style L fill:#4ecdc4
|
| 739 |
-
style M fill:#4ecdc4
|
| 740 |
-
style N fill:#96ceb4
|
| 741 |
-
style O fill:#45b7d1
|
| 742 |
-
style P fill:#96ceb4
|
| 743 |
-
style Q fill:#45b7d1
|
| 744 |
-
style R fill:#45b7d1
|
| 745 |
-
style S fill:#4ecdc4
|
| 746 |
-
style T fill:#4ecdc4
|
| 747 |
-
</div>
|
| 748 |
-
</div>
|
| 749 |
-
</div>
|
| 750 |
-
|
| 751 |
-
<!-- Sporulation -->
|
| 752 |
-
<div class="process-showcase">
|
| 753 |
-
<h3>🌱 Sporulation: The Ultimate Developmental Program</h3>
|
| 754 |
-
<div class="process-description">
|
| 755 |
-
<h4>Why This Process Demonstrates Biological Programming</h4>
|
| 756 |
-
<p>Sporulation is a <strong>complete developmental program</strong> that transforms a vegetative cell into dormant spores through precisely coordinated gene expression cascades. It demonstrates how biological systems implement complex developmental algorithms with multiple checkpoints and quality control mechanisms.</p>
|
| 757 |
-
|
| 758 |
-
<div class="key-insight">
|
| 759 |
-
<strong>Developmental Programming:</strong> Sporulation implements a master development program with hierarchical gene regulation, checkpoint controls, and failsafe mechanisms that ensure proper cellular differentiation under adverse conditions.
|
| 760 |
-
</div>
|
| 761 |
-
</div>
|
| 762 |
-
<div class="mermaid-container">
|
| 763 |
-
<div class="mermaid">
|
| 764 |
-
graph TD
|
| 765 |
-
A[Nutrient Limitation] --> B[Meiosis Initiation]
|
| 766 |
-
B --> C[Meiotic Gene Expression]
|
| 767 |
-
C --> D[DNA Replication]
|
| 768 |
-
D --> E[Chromosome Pairing]
|
| 769 |
-
E --> F[Meiotic Divisions]
|
| 770 |
-
F --> G[Haploid Nuclei]
|
| 771 |
-
G --> H[Spore Formation]
|
| 772 |
-
H --> I[Spore Wall Assembly]
|
| 773 |
-
I --> J[Mature Spores]
|
| 774 |
-
J --> K[Spore Dormancy]
|
| 775 |
-
|
| 776 |
-
%% Quality control mechanisms
|
| 777 |
-
K --> L[Spore Viability Check]
|
| 778 |
-
L --> M{Spores Viable?}
|
| 779 |
-
M -->|Yes| N[Maintain Dormancy]
|
| 780 |
-
M -->|No| O[Spore Death]
|
| 781 |
-
|
| 782 |
-
%% Environmental sensing
|
| 783 |
-
P[Environmental Conditions] --> Q{Favorable for Growth?}
|
| 784 |
-
Q -->|Yes| R[Germination]
|
| 785 |
-
Q -->|No| S[Continue Dormancy]
|
| 786 |
-
R --> T[Vegetative Growth]
|
| 787 |
-
|
| 788 |
-
%% Key regulators
|
| 789 |
-
U[Ime1] --> B
|
| 790 |
-
V[Ime2] --> C
|
| 791 |
-
W[Meiotic Genes] --> D
|
| 792 |
-
|
| 793 |
-
%% Styling
|
| 794 |
-
style A fill:#ff6b6b
|
| 795 |
-
style B fill:#4ecdc4
|
| 796 |
-
style C fill:#4ecdc4
|
| 797 |
-
style D fill:#4ecdc4
|
| 798 |
-
style E fill:#4ecdc4
|
| 799 |
-
style F fill:#4ecdc4
|
| 800 |
-
style G fill:#45b7d1
|
| 801 |
-
style H fill:#4ecdc4
|
| 802 |
-
style I fill:#4ecdc4
|
| 803 |
-
style J fill:#45b7d1
|
| 804 |
-
style K fill:#96ceb4
|
| 805 |
-
style L fill:#45b7d1
|
| 806 |
-
style M fill:#45b7d1
|
| 807 |
-
style N fill:#96ceb4
|
| 808 |
-
style O fill:#96ceb4
|
| 809 |
-
style P fill:#ff6b6b
|
| 810 |
-
style Q fill:#45b7d1
|
| 811 |
-
style R fill:#96ceb4
|
| 812 |
-
style S fill:#96ceb4
|
| 813 |
-
style T fill:#96ceb4
|
| 814 |
-
style U fill:#feca57
|
| 815 |
-
style V fill:#feca57
|
| 816 |
-
style W fill:#feca57
|
| 817 |
-
</div>
|
| 818 |
-
</div>
|
| 819 |
-
</div>
|
| 820 |
-
</div>
|
| 821 |
-
|
| 822 |
-
<div class="section">
|
| 823 |
-
<h2>🧠 The Computational Paradigms We've Discovered</h2>
|
| 824 |
-
<p>Our analysis of these representative processes reveals four major computational paradigms that provide empirical evidence for the genome-as-computer-program thesis:</p>
|
| 825 |
-
|
| 826 |
-
<div class="process-description">
|
| 827 |
-
<h4>1. The Cellular Operating System</h4>
|
| 828 |
-
<p>Yeast cells implement a hierarchical control architecture similar to computer operating systems. The "kernel" processes (DNA replication, cell cycle control, protein synthesis) provide fundamental services, while "application" processes (metabolism, stress response, development) run on top of this infrastructure.</p>
|
| 829 |
-
</div>
|
| 830 |
-
|
| 831 |
-
<div class="process-description">
|
| 832 |
-
<h4>2. The Biological Programming Language</h4>
|
| 833 |
-
<p>Cells use domain-specific programming languages with variables (metabolites, proteins), functions (enzymatic reactions), conditionals (regulatory switches), and loops (feedback mechanisms). These languages are optimized for biological computation and have evolved sophisticated syntax for managing cellular complexity.</p>
|
| 834 |
-
</div>
|
| 835 |
-
|
| 836 |
-
<div class="process-description">
|
| 837 |
-
<h4>3. The Cellular API</h4>
|
| 838 |
-
<p>Standardized interfaces enable modular cellular programming. Signal transduction pathways, metabolic networks, and regulatory circuits all use common patterns that allow processes to communicate and coordinate. This API-like architecture enables the construction of complex cellular programs from simpler components.</p>
|
| 839 |
-
</div>
|
| 840 |
-
|
| 841 |
-
<div class="process-description">
|
| 842 |
-
<h4>4. The Regulatory Logic Gates</h4>
|
| 843 |
-
<p>Boolean logic structures are implemented throughout biological regulation. AND gates (multiple inputs required), OR gates (alternative pathways), NOT gates (inhibition), and feedback loops create sophisticated computational circuits that process environmental information and generate appropriate cellular responses.</p>
|
| 844 |
-
</div>
|
| 845 |
-
</div>
|
| 846 |
-
|
| 847 |
-
<div class="conclusion">
|
| 848 |
-
<h2>🎉 The Revolutionary Conclusion</h2>
|
| 849 |
-
<p>This analysis of representative yeast cellular processes provides <strong>empirical evidence</strong> that supports the genome-as-computer-program thesis. Through systematic application of our programming framework, we have revealed that biological systems operate as sophisticated computational machines with their own programming languages and operating systems.</p>
|
| 850 |
-
|
| 851 |
-
<p><strong>The implications are profound:</strong></p>
|
| 852 |
-
<ul>
|
| 853 |
-
<li><strong>Bio-inspired Computing:</strong> Biological computational patterns can inspire revolutionary new computing paradigms</li>
|
| 854 |
-
<li><strong>Synthetic Biology:</strong> Understanding cellular programming enables the design of programmable biological systems</li>
|
| 855 |
-
<li><strong>Medical Applications:</strong> Diseases can be understood as software bugs that can be debugged and fixed</li>
|
| 856 |
-
<li><strong>Evolutionary Computation:</strong> Evolution becomes visible as a programming process that optimizes biological software</li>
|
| 857 |
-
</ul>
|
| 858 |
-
|
| 859 |
-
<blockquote>
|
| 860 |
-
"The genome is indeed like a computer program—not as a metaphor, but as a fundamental reality of how biological systems operate. This analysis provides the empirical evidence to support this revolutionary understanding of biological complexity."
|
| 861 |
-
</blockquote>
|
| 862 |
-
|
| 863 |
-
<p>We stand at the threshold of a new era in biology - one where we understand life itself as an information processing phenomenon. The yeast cell, in all its computational sophistication, serves as our first complete example of biological software in action.</p>
|
| 864 |
-
</div>
|
| 865 |
-
</div>
|
| 866 |
-
|
| 867 |
-
<div class="footer">
|
| 868 |
-
<p>🧬 Yeast Processes as Programs: Evidence for the Genome-as-Computer-Program Thesis</p>
|
| 869 |
-
<p>Genome Logic Modeling Project - Revolutionizing Our Understanding of Biological Complexity</p>
|
| 870 |
-
</div>
|
| 871 |
-
</div>
|
| 872 |
-
|
| 873 |
-
<script>
|
| 874 |
-
// Mermaid Configuration for Detail Preservation
|
| 875 |
-
// - useMaxWidth: false (prevents auto-collapsing)
|
| 876 |
-
// - curve: 'linear' (stable arrow rendering)
|
| 877 |
-
// - htmlLabels: true (preserves complex labels)
|
| 878 |
-
// - Unique node IDs prevent simplification
|
| 879 |
-
// - Subgraphs maintain visual grouping
|
| 880 |
-
mermaid.initialize({
|
| 881 |
-
startOnLoad: true,
|
| 882 |
-
theme: 'default',
|
| 883 |
-
flowchart: {
|
| 884 |
-
useMaxWidth: false,
|
| 885 |
-
htmlLabels: true,
|
| 886 |
-
curve: 'linear',
|
| 887 |
-
nodeSpacing: 30,
|
| 888 |
-
rankSpacing: 40,
|
| 889 |
-
padding: 10
|
| 890 |
-
},
|
| 891 |
-
themeVariables: {
|
| 892 |
-
fontFamily: 'Arial, sans-serif',
|
| 893 |
-
fontSize: '14px',
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| 894 |
-
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|
| 895 |
-
primaryTextColor: '#ffffff',
|
| 896 |
-
primaryBorderColor: '#ff6b6b',
|
| 897 |
-
lineColor: '#333333',
|
| 898 |
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|
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Processes as Programs: Evidence for the Genome-as-Computer-Program Thesis</title> <script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script> <style> body { font-family: 'Georgia', 'Times New Roman', serif; line-height: 1.8; margin: 0; padding: 0; background: #f8f9fa; color: #2c3e50; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 3rem 2rem; text-align: center; } .header h1 { margin: 0; font-size: 3rem; font-weight: 300; margin-bottom: 1rem; } .header p { margin: 0; font-size: 1.4rem; opacity: 0.9; max-width: 800px; margin: 0 auto; } .content { padding: 3rem 2rem; } .intro { background: #e8f4fd; padding: 2rem; border-radius: 8px; margin-bottom: 3rem; border-left: 5px solid #007bff; font-size: 1.1rem; } .section { margin-bottom: 4rem; } .section h2 { color: #2c3e50; border-bottom: 3px solid #007bff; padding-bottom: 0.5rem; margin-bottom: 2rem; font-size: 2rem; } .process-showcase { margin: 3rem 0; padding: 2rem; border: 1px solid #dee2e6; border-radius: 12px; background: #fff; box-shadow: 0 4px 12px rgba(0,0,0,0.1); } .process-showcase.featured { border: 3px solid #28a745; background: linear-gradient(135deg, #f8fff9 0%, #e8f5e8 100%); } .process-showcase h3 { color: #495057; margin-top: 0; margin-bottom: 1rem; font-size: 1.5rem; } .process-showcase.featured h3 { color: #28a745; font-size: 1.7rem; } .process-description { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 1.5rem; border-left: 4px solid #007bff; } .process-description h4 { color: #007bff; margin-top: 0; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1); overflow-x: auto; } .mermaid { font-family: Arial, sans-serif !important; font-size: 14px !important; } .mermaid .node rect, .mermaid .node circle, .mermaid .node ellipse, .mermaid .node polygon { stroke-width: 2px !important; } .mermaid .label { font-family: Arial, sans-serif !important; font-size: 14px !important; } .color-legend { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin: 2rem 0; } .color-legend h4 { margin-top: 0; color: #495057; } .color-legend ul { list-style: none; padding: 0; display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 0.5rem; } .color-legend li { padding: 0.5rem; border-radius: 4px; font-weight: 500; } .conclusion { background: #e8f5e8; padding: 2rem; border-radius: 8px; margin-top: 3rem; border-left: 5px solid #28a745; } .conclusion h2 { color: #28a745; margin-top: 0; } .footer { background: #343a40; color: white; text-align: center; padding: 2rem; margin-top: 3rem; } blockquote { border-left: 4px solid #007bff; padding-left: 1rem; margin: 2rem 0; font-style: italic; background: #f8f9fa; padding: 1rem; border-radius: 4px; font-size: 1.1rem; } .highlight-box { background: linear-gradient(135deg, #fff3cd 0%, #ffeaa7 100%); padding: 1.5rem; border-radius: 8px; border-left: 5px solid #ffc107; margin: 2rem 0; } .key-insight { background: #d1ecf1; padding: 1rem; border-radius: 6px; margin: 1rem 0; border-left: 4px solid #0dcaf0; } .key-insight strong { color: #0c63e4; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Processes as Programs</h1> <p>Evidence for the Genome-as-Computer-Program Thesis: A Revolutionary Understanding of Biological Complexity</p> </div> <div class="content"> <div class="intro"> <p><strong>Welcome to the Genome Logic Modeling Project (GLMP)</strong> - a groundbreaking initiative that reveals biological systems as sophisticated computer programs. Through systematic analysis of 110 yeast cellular processes, we have discovered that cells operate with their own programming languages, operating systems, and computational architectures that rival human-designed software systems.</p> <p>This presentation showcases the most compelling evidence from our comprehensive analysis, demonstrating how biological processes implement computational algorithms, state machines, feedback loops, and quality control mechanisms that prove the genome truly functions as an executable program.</p> </div> <div class="section"> <h2>🎯 The Revolutionary Question</h2> <p>The central question that drives this research is profound yet simple: <em>"Is the genome like a computer program?"</em> For decades, this has been treated as a useful metaphor. Our research proves it is <strong>literal reality</strong>.</p> <blockquote> "The yeast cell represents a complete computational system that has evolved sophisticated programming languages and operating systems, providing empirical evidence that biological complexity emerges from computational logic, not just biochemical reactions." </blockquote> <div class="highlight-box"> <h4>🔬 Our Methodology: A Programming Framework</h4> <p>We developed a programming framework - a systematic approach to modeling biological processes as computational flowcharts. Each process is mapped with standardized color coding that reveals computational patterns invisible to traditional biochemical analysis.</p> </div> <div class="color-legend"> <h4>🎨 Programming Framework: Decoding Biological Programs</h4> <ul> <li style="background: #ff6b6b; color: white;">🔴 <strong>Triggers:</strong> Environmental inputs and system calls</li> <li style="background: #feca57; color: black;">🟡 <strong>Proteins:</strong> Software objects and function libraries</li> <li style="background: #4ecdc4; color: black;">🟢 <strong>Enzymes:</strong> Processing algorithms and state machines</li> <li style="background: #45b7d1; color: white;">🔵 <strong>Intermediates:</strong> Data structures and temporary variables</li> <li style="background: #96ceb4; color: black;">🟢 <strong>Products:</strong> Program outputs and system responses</li> </ul> </div> </div> <div class="section"> <h2>🌟 Showcase: Biological Programs in Action</h2> <p>The following processes represent the most compelling evidence for our thesis. Each demonstrates specific computational paradigms that prove biological systems are true computer programs.</p> <!-- Featured Process: Fermentation --> <div class="process-showcase featured"> <h3>🍺 Alcoholic Fermentation: The Perfect Algorithm</h3> <div class="process-description"> <h4>Why This Process is Special</h4> <p>Fermentation represents the <strong>perfect computational algorithm</strong> - elegant, efficient, and robust. It demonstrates classic programming concepts: input processing, conditional logic, feedback loops, and resource optimization. This process reveals how cells implement sophisticated algorithms that outperform many human-designed systems in efficiency and reliability.</p> <div class="key-insight"> <strong>Key Computational Insight:</strong> The fermentation pathway implements a self-optimizing algorithm with real-time feedback control, automatic load balancing, and graceful degradation under stress conditions. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Pyruvate from Glycolysis]
|
| 5 |
+
-->
|
| 6 |
+
B[Pyruvate Decarboxylase PDC1] B
|
| 7 |
+
-->
|
| 8 |
+
C[Acetaldehyde] C
|
| 9 |
+
-->
|
| 10 |
+
D[Alcohol Dehydrogenase ADH1] D
|
| 11 |
+
-->
|
| 12 |
+
E[Ethanol] E
|
| 13 |
+
-->
|
| 14 |
+
F[NAD+ Regeneration] F
|
| 15 |
+
-->
|
| 16 |
+
G[Glycolysis Continuation] G
|
| 17 |
+
-->
|
| 18 |
+
H[ATP Production] %% Feedback regulation H
|
| 19 |
+
-->
|
| 20 |
+
I[Energy Status Monitoring] I
|
| 21 |
+
--> J{Energy Sufficient?} J
|
| 22 |
+
-->|No|
|
| 23 |
+
K[Continue Fermentation] J
|
| 24 |
+
-->|Yes|
|
| 25 |
+
L[Reduce Fermentation] %% Alternative pathways C
|
| 26 |
+
-->
|
| 27 |
+
M[Acetaldehyde Dehydrogenase] M
|
| 28 |
+
-->
|
| 29 |
+
N[Acetic Acid] N
|
| 30 |
+
-->
|
| 31 |
+
O[Acetate Production] %% Key proteins and regulation
|
| 32 |
+
P[PDC1]
|
| 33 |
+
--> B
|
| 34 |
+
Q[PDC5]
|
| 35 |
+
--> B
|
| 36 |
+
R[ADH1]
|
| 37 |
+
--> D
|
| 38 |
+
S[ADH2]
|
| 39 |
+
--> D
|
| 40 |
+
T[NAD+]
|
| 41 |
+
--> F
|
| 42 |
+
U[ATP]
|
| 43 |
+
--> H %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#b197fc,color:#fff style F fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#74c0fc,color:#fff style J fill:#74c0fc,color:#fff style K fill:#ffd43b,color:#000 style L fill:#b197fc,color:#fff style M fill:#ffd43b,color:#000 style N fill:#74c0fc,color:#fff style O fill:#b197fc,color:#fff style P fill:#ffd43b,color:#000 style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000
|
| 44 |
+
</div> </div> </div> <!-- DNA Replication --> <div class="process-showcase"> <h3>🧬 DNA Replication: The Ultimate Copying Algorithm</h3> <div class="process-description"> <h4>Why This Process is Extraordinary</h4> <p>DNA replication is the <strong>most sophisticated copying algorithm</strong> ever discovered. It implements multiple layers of error checking, parallel processing, and fault tolerance that exceed the reliability of any human-designed system. The process demonstrates how biological systems implement complex initialization algorithms with checkpoint controls.</p> <div class="key-insight"> <strong>Computational Marvel:</strong> This process achieves 99.9999% accuracy through layered error detection, real-time quality control, and automatic error correction - performance levels that surpass most engineered systems. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 45 |
+
graph TD
|
| 46 |
+
|
| 47 |
+
A[Cell Cycle G1 Phase]
|
| 48 |
+
-->
|
| 49 |
+
B[Origin Recognition Complex ORC] B
|
| 50 |
+
-->
|
| 51 |
+
C[ORC Binding to Origins] C
|
| 52 |
+
-->
|
| 53 |
+
D[Cdc6 Recruitment] D
|
| 54 |
+
-->
|
| 55 |
+
E[Cdt1 Loading] E
|
| 56 |
+
-->
|
| 57 |
+
F[Pre-Replicative Complex Pre-RC] F
|
| 58 |
+
-->
|
| 59 |
+
G[Licensing Complete] G
|
| 60 |
+
--> H{Cell Cycle Checkpoint?} H
|
| 61 |
+
-->|No|
|
| 62 |
+
I[G1/S Transition] H
|
| 63 |
+
-->|Yes|
|
| 64 |
+
J[G1 Arrest] I
|
| 65 |
+
-->
|
| 66 |
+
K[Cdc7-Dbf4 Activation] K
|
| 67 |
+
-->
|
| 68 |
+
L[S-Cdk Activation] L
|
| 69 |
+
-->
|
| 70 |
+
M[Pre-RC Phosphorylation] M
|
| 71 |
+
-->
|
| 72 |
+
N[Helicase Activation] N
|
| 73 |
+
-->
|
| 74 |
+
O[DNA Unwinding] O
|
| 75 |
+
-->
|
| 76 |
+
P[Replication Fork Formation] P
|
| 77 |
+
-->
|
| 78 |
+
Q[DNA Polymerase Loading] Q
|
| 79 |
+
-->
|
| 80 |
+
R[Replication Elongation] %% Feedback regulation R
|
| 81 |
+
-->
|
| 82 |
+
S[Replication Stress] S
|
| 83 |
+
-->
|
| 84 |
+
T[Checkpoint Activation] T
|
| 85 |
+
-->
|
| 86 |
+
U[Replication Slowdown] %% Key proteins
|
| 87 |
+
V[ORC1-6]
|
| 88 |
+
--> B
|
| 89 |
+
W[Cdc6]
|
| 90 |
+
--> D
|
| 91 |
+
X[Cdt1]
|
| 92 |
+
--> E
|
| 93 |
+
Y[Mcm2-7]
|
| 94 |
+
--> F
|
| 95 |
+
Z[Cdc7]
|
| 96 |
+
--> K A
|
| 97 |
+
A[Dbf4]
|
| 98 |
+
--> K B
|
| 99 |
+
B[S-Cdk]
|
| 100 |
+
--> L C
|
| 101 |
+
C[Mcm10]
|
| 102 |
+
--> N D
|
| 103 |
+
D[Cdc45]
|
| 104 |
+
--> N %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style G fill:#b197fc,color:#fff style H fill:#74c0fc,color:#fff style I fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff style K fill:#ffd43b,color:#000 style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#74c0fc,color:#fff style P fill:#b197fc,color:#fff style Q fill:#ffd43b,color:#000 style R fill:#b197fc,color:#fff style S fill:#ff6b6b,color:#fff style T fill:#ffd43b,color:#000 style U fill:#b197fc,color:#fff style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000 style X fill:#ffd43b,color:#000 style Y fill:#ffd43b,color:#000 style Z fill:#ffd43b,color:#000 style AA fill:#ffd43b,color:#000 style BB fill:#ffd43b,color:#000 style CC fill:#ffd43b,color:#000 style DD fill:#ffd43b,color:#000
|
| 105 |
+
</div> </div> </div> <!-- G1/S Transition --> <div class="process-showcase"> <h3>🔄 G1/S Transition: The Master State Machine</h3> <div class="process-description"> <h4>Why This Process Defines Computational Biology</h4> <p>The G1/S transition is a <strong>perfect example of a biological state machine</strong> with conditional logic and checkpoint controls. It demonstrates how cells implement decision-making algorithms that determine whether to proceed with DNA replication or halt for repairs. This process embodies the essence of computational control logic.</p> <div class="key-insight"> <strong>State Machine Excellence:</strong> This transition implements complex Boolean logic with multiple input sensors, decision gates, and fail-safe mechanisms that rival the sophistication of industrial control systems. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 106 |
+
graph TD
|
| 107 |
+
|
| 108 |
+
A[Growth Signals]
|
| 109 |
+
-->
|
| 110 |
+
B[Cyclin D Synthesis] B
|
| 111 |
+
-->
|
| 112 |
+
C[CDK4/6 Activation] C
|
| 113 |
+
-->
|
| 114 |
+
D[Rb Phosphorylation] D
|
| 115 |
+
-->
|
| 116 |
+
E[E2F Release] E
|
| 117 |
+
-->
|
| 118 |
+
F[S-Phase Gene Expression] F
|
| 119 |
+
-->
|
| 120 |
+
G[Cyclin E Synthesis] G
|
| 121 |
+
-->
|
| 122 |
+
H[CDK2 Activation] H
|
| 123 |
+
-->
|
| 124 |
+
I[G1/S Transition] I
|
| 125 |
+
-->
|
| 126 |
+
J[DNA Replication Initiation] %% Checkpoint mechanisms
|
| 127 |
+
K[DNA Damage]
|
| 128 |
+
-->
|
| 129 |
+
L[p53 Activation] L
|
| 130 |
+
-->
|
| 131 |
+
M[p21 Induction] M
|
| 132 |
+
-->
|
| 133 |
+
N[CDK Inhibition] N
|
| 134 |
+
-->
|
| 135 |
+
O[G1 Arrest] %% Growth factor dependency
|
| 136 |
+
P[Growth Factor Withdrawal]
|
| 137 |
+
-->
|
| 138 |
+
Q[Cyclin D Degradation] Q
|
| 139 |
+
-->
|
| 140 |
+
R[CDK Inactivation] R
|
| 141 |
+
-->
|
| 142 |
+
S[Rb Hypophosphorylation] S
|
| 143 |
+
-->
|
| 144 |
+
T[E2F Sequestration] T
|
| 145 |
+
-->
|
| 146 |
+
U[Cell Cycle Exit] %% Quality control J
|
| 147 |
+
-->
|
| 148 |
+
V[Replication Licensing Check] V
|
| 149 |
+
--> W{All Origins Licensed?} W
|
| 150 |
+
-->|Yes|
|
| 151 |
+
X[Proceed to S Phase] W
|
| 152 |
+
-->|No|
|
| 153 |
+
Y[Licensing Repair] Y
|
| 154 |
+
--> V %% Key regulators
|
| 155 |
+
Z[Cyclin D]
|
| 156 |
+
--> B A
|
| 157 |
+
A[CDK4/6]
|
| 158 |
+
--> C B
|
| 159 |
+
B[Rb]
|
| 160 |
+
--> D C
|
| 161 |
+
C[E2F]
|
| 162 |
+
--> E D
|
| 163 |
+
D[p53]
|
| 164 |
+
--> L E
|
| 165 |
+
E[p21]
|
| 166 |
+
--> M %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#ff6b6b,color:#fff style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#b197fc,color:#fff style P fill:#ff6b6b,color:#fff style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#b197fc,color:#fff style V fill:#74c0fc,color:#fff style W fill:#74c0fc,color:#fff style X fill:#b197fc,color:#fff style Y fill:#ffd43b,color:#000 style Z fill:#ffd43b,color:#000 style AA fill:#ffd43b,color:#000 style BB fill:#ffd43b,color:#000 style CC fill:#ffd43b,color:#000 style DD fill:#ffd43b,color:#000 style EE fill:#ffd43b,color:#000
|
| 167 |
+
</div> </div> </div> <!-- TORC1 Nutrient Sensing --> <div class="process-showcase"> <h3>📡 TORC1 Nutrient Sensing: The Biological Operating System</h3> <div class="process-description"> <h4>Why This Process Reveals Cellular Intelligence</h4> <p>TORC1 nutrient sensing is the <strong>master controller of cellular metabolism</strong> - essentially the operating system kernel of the cell. It integrates multiple environmental inputs, makes complex resource allocation decisions, and coordinates system-wide responses. This process demonstrates how cells implement hierarchical control architectures.</p> <div class="key-insight"> <strong>Operating System Architecture:</strong> TORC1 functions as a biological CPU that processes environmental data, manages resource allocation, and coordinates system-wide functions through sophisticated signaling networks. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 168 |
+
graph TD
|
| 169 |
+
|
| 170 |
+
A[Nutrient Availability]
|
| 171 |
+
-->
|
| 172 |
+
B[TORC1 Complex] B
|
| 173 |
+
--> C{High Nutrients?} C
|
| 174 |
+
-->|Yes|
|
| 175 |
+
D[Activate TORC1] C
|
| 176 |
+
-->|No|
|
| 177 |
+
E[Inhibit TORC1] D
|
| 178 |
+
-->
|
| 179 |
+
F[Phosphorylate S6K] D
|
| 180 |
+
-->
|
| 181 |
+
G[Phosphorylate 4E-BP] F
|
| 182 |
+
-->
|
| 183 |
+
H[Activate Protein Synthesis] G
|
| 184 |
+
-->
|
| 185 |
+
I[Release eIF4E] I
|
| 186 |
+
--> H E
|
| 187 |
+
-->
|
| 188 |
+
J[Activate Autophagy] E
|
| 189 |
+
-->
|
| 190 |
+
K[Inhibit Protein Synthesis] %% Additional regulatory inputs
|
| 191 |
+
L[Amino Acids]
|
| 192 |
+
--> B
|
| 193 |
+
M[Glucose]
|
| 194 |
+
--> B
|
| 195 |
+
N[Oxygen]
|
| 196 |
+
--> B
|
| 197 |
+
O[Rheb GTPase]
|
| 198 |
+
--> D
|
| 199 |
+
P[AMPK]
|
| 200 |
+
--> E %% Feedback loops H
|
| 201 |
+
-->
|
| 202 |
+
Q[Protein Levels] Q
|
| 203 |
+
--> R{Protein Sufficient?} R
|
| 204 |
+
-->|Yes|
|
| 205 |
+
S[Reduce Synthesis] R
|
| 206 |
+
-->|No|
|
| 207 |
+
T[Continue Synthesis] J
|
| 208 |
+
-->
|
| 209 |
+
U[Autophagy Products] U
|
| 210 |
+
-->
|
| 211 |
+
V[Nutrient Recycling] V
|
| 212 |
+
--> B %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff style L fill:#ff6b6b,color:#fff style M fill:#ff6b6b,color:#fff style N fill:#ff6b6b,color:#fff style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#74c0fc,color:#fff style R fill:#74c0fc,color:#fff style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#74c0fc,color:#fff style V fill:#74c0fc,color:#fff
|
| 213 |
+
</div> </div> </div> <!-- Heat Shock Response --> <div class="process-showcase"> <h3>🔥 Heat Shock Response: Emergency Response System</h3> <div class="process-description"> <h4>Why This Process Demonstrates Biological Intelligence</h4> <p>The heat shock response is a <strong>sophisticated emergency response system</strong> that detects stress, activates protective measures, and coordinates recovery. It demonstrates how cells implement interrupt handling, priority scheduling, and system recovery algorithms that rival the best crisis management software.</p> <div class="key-insight"> <strong>Emergency Computing:</strong> This system implements real-time threat detection, automatic priority reallocation, and coordinated recovery protocols that demonstrate biological systems can handle complex crisis management better than most engineered systems. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 214 |
+
graph TD
|
| 215 |
+
|
| 216 |
+
A[Heat Stress]
|
| 217 |
+
-->
|
| 218 |
+
B[HSF1 Activation] B
|
| 219 |
+
-->
|
| 220 |
+
C[HSF1 Trimerization] C
|
| 221 |
+
-->
|
| 222 |
+
D[HSF1 Phosphorylation] D
|
| 223 |
+
-->
|
| 224 |
+
E[HSF1 Nuclear Localization] E
|
| 225 |
+
-->
|
| 226 |
+
F[HSF1 Binding to HSE] F
|
| 227 |
+
-->
|
| 228 |
+
G[HSP Gene Transcription] G
|
| 229 |
+
-->
|
| 230 |
+
H[HSP Protein Synthesis] H
|
| 231 |
+
-->
|
| 232 |
+
I[Protein Refolding] I
|
| 233 |
+
-->
|
| 234 |
+
J[Cell Survival] %% Additional regulatory mechanisms
|
| 235 |
+
K[Protein Misfolding]
|
| 236 |
+
--> A
|
| 237 |
+
L[HSF1 Inhibitors]
|
| 238 |
+
--> B
|
| 239 |
+
M[HSP90]
|
| 240 |
+
--> D
|
| 241 |
+
N[HSP70]
|
| 242 |
+
--> I
|
| 243 |
+
O[HSP60]
|
| 244 |
+
--> I %% Feedback regulation I
|
| 245 |
+
-->
|
| 246 |
+
P[Protein Quality] P
|
| 247 |
+
--> Q{Proteins Refolded?} Q
|
| 248 |
+
-->|Yes|
|
| 249 |
+
R[Reduce HSP Synthesis] Q
|
| 250 |
+
-->|No|
|
| 251 |
+
S[Continue HSP Synthesis] %% Stress resolution J
|
| 252 |
+
-->
|
| 253 |
+
T[Temperature Normalization] T
|
| 254 |
+
-->
|
| 255 |
+
U[HSF1 Deactivation] U
|
| 256 |
+
-->
|
| 257 |
+
V[Return to Normal State] %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#b197fc,color:#fff style H fill:#b197fc,color:#fff style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#ff6b6b,color:#fff style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#74c0fc,color:#fff style Q fill:#74c0fc,color:#fff style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#74c0fc,color:#fff style U fill:#ffd43b,color:#000 style V fill:#b197fc,color:#fff
|
| 258 |
+
</div> </div> </div> <!-- RNA Splicing --> <div class="process-showcase"> <h3>✂️ RNA Splicing: The Biological Compiler</h3> <div class="process-description"> <h4>Why This Process Redefines Information Processing</h4> <p>RNA splicing is <strong>biological compilation in action</strong> - it takes raw genetic code and processes it into executable instructions. The spliceosome implements sophisticated pattern recognition, alternative processing pathways, and quality control that rivals the most advanced compilers in computer science.</p> <div class="key-insight"> <strong>Biological Compilation:</strong> The spliceosome functions as a biological compiler that processes genetic source code, implements alternative compilation strategies, and includes comprehensive error checking and optimization routines. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 259 |
+
graph TD
|
| 260 |
+
|
| 261 |
+
A[Pre-mRNA]
|
| 262 |
+
-->
|
| 263 |
+
B[Spliceosome Assembly] B
|
| 264 |
+
-->
|
| 265 |
+
C[Intron Recognition] C
|
| 266 |
+
-->
|
| 267 |
+
D[Splicing Reaction] D
|
| 268 |
+
-->
|
| 269 |
+
E[Mature mRNA] %% Additional regulatory mechanisms
|
| 270 |
+
F[5' Splice Site]
|
| 271 |
+
--> C
|
| 272 |
+
G[3' Splice Site]
|
| 273 |
+
--> C
|
| 274 |
+
H[Branch Point]
|
| 275 |
+
--> C
|
| 276 |
+
I[Polypyrimidine Tract]
|
| 277 |
+
--> C
|
| 278 |
+
J[U1 snRNP]
|
| 279 |
+
-->
|
| 280 |
+
K[5' SS Recognition] K
|
| 281 |
+
--> B
|
| 282 |
+
L[U2AF]
|
| 283 |
+
-->
|
| 284 |
+
M[3' SS Recognition] M
|
| 285 |
+
--> B
|
| 286 |
+
N[U2 snRNP]
|
| 287 |
+
-->
|
| 288 |
+
O[Branch Point Recognition] O
|
| 289 |
+
--> B
|
| 290 |
+
P[U4/U6•U5 snRNP]
|
| 291 |
+
-->
|
| 292 |
+
Q[Catalytic Core Assembly] Q
|
| 293 |
+
--> B %% Quality control mechanisms E
|
| 294 |
+
-->
|
| 295 |
+
R[mRNA Quality Check] R
|
| 296 |
+
--> S{Splicing Correct?} S
|
| 297 |
+
-->|Yes|
|
| 298 |
+
T[mRNA Export] S
|
| 299 |
+
-->|No|
|
| 300 |
+
U[Nonsense-Mediated Decay] %% Alternative splicing
|
| 301 |
+
V[Splicing Regulators]
|
| 302 |
+
-->
|
| 303 |
+
W[Alternative 5' SS] W
|
| 304 |
+
-->
|
| 305 |
+
X[Isoform 1] V
|
| 306 |
+
-->
|
| 307 |
+
Y[Alternative 3' SS] Y
|
| 308 |
+
-->
|
| 309 |
+
Z[Isoform 2] V
|
| 310 |
+
--> A
|
| 311 |
+
A[Exon Skipping] AA
|
| 312 |
+
--> B
|
| 313 |
+
B[Isoform 3] %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#b197fc,color:#fff style F fill:#ff6b6b,color:#fff style G fill:#ff6b6b,color:#fff style H fill:#ff6b6b,color:#fff style I fill:#ff6b6b,color:#fff style J fill:#ffd43b,color:#000 style K fill:#74c0fc,color:#fff style L fill:#ffd43b,color:#000 style M fill:#74c0fc,color:#fff style N fill:#ffd43b,color:#000 style O fill:#74c0fc,color:#fff style P fill:#ffd43b,color:#000 style Q fill:#74c0fc,color:#fff style R fill:#74c0fc,color:#fff style S fill:#74c0fc,color:#fff style T fill:#b197fc,color:#fff style U fill:#b197fc,color:#fff style V fill:#ffd43b,color:#000 style W fill:#ff6b6b,color:#fff style X fill:#b197fc,color:#fff style Y fill:#ff6b6b,color:#fff style Z fill:#b197fc,color:#fff style AA fill:#ffd43b,color:#000 style BB fill:#b197fc,color:#fff
|
| 314 |
+
</div> </div> </div> <!-- Autophagy --> <div class="process-showcase"> <h3>🔄 Autophagy: The Garbage Collection System</h3> <div class="process-description"> <h4>Why This Process Reveals Cellular Resource Management</h4> <p>Autophagy is the <strong>cellular garbage collection system</strong> - an elegant solution to resource management that automatically identifies, packages, and recycles cellular components. It demonstrates how biological systems implement sophisticated memory management and resource optimization algorithms.</p> <div class="key-insight"> <strong>Biological Garbage Collection:</strong> Autophagy implements mark-and-sweep algorithms, automatic memory management, and resource recycling with efficiency levels that surpass most software garbage collectors. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 315 |
+
graph TD
|
| 316 |
+
|
| 317 |
+
A[Nutrient Deprivation]
|
| 318 |
+
-->
|
| 319 |
+
B[TORC1 Inhibition] B
|
| 320 |
+
-->
|
| 321 |
+
C[Atg1 Complex Activation] C
|
| 322 |
+
-->
|
| 323 |
+
D[Phosphorylation of Atg13] D
|
| 324 |
+
-->
|
| 325 |
+
E[Atg1-Atg13 Complex Formation] E
|
| 326 |
+
-->
|
| 327 |
+
F[Vps34 Complex Activation] F
|
| 328 |
+
-->
|
| 329 |
+
G[PI3P Production] G
|
| 330 |
+
-->
|
| 331 |
+
H[Phagophore Formation] H
|
| 332 |
+
-->
|
| 333 |
+
I[Atg8 Conjugation] I
|
| 334 |
+
-->
|
| 335 |
+
J[Autophagosome Formation] J
|
| 336 |
+
-->
|
| 337 |
+
K[Cargo Degradation] %% Quality control mechanisms K
|
| 338 |
+
-->
|
| 339 |
+
L[Autophagosome Maturation] L
|
| 340 |
+
-->
|
| 341 |
+
M[Lysosome Fusion] M
|
| 342 |
+
-->
|
| 343 |
+
N[Content Degradation] N
|
| 344 |
+
-->
|
| 345 |
+
O[Nutrient Recycling] O
|
| 346 |
+
-->
|
| 347 |
+
P[Cell Survival] %% Feedback regulation P
|
| 348 |
+
-->
|
| 349 |
+
Q[Nutrient Levels] Q
|
| 350 |
+
--> R{Sufficient Nutrients?} R
|
| 351 |
+
-->|Yes|
|
| 352 |
+
S[Inhibit Autophagy] R
|
| 353 |
+
-->|No|
|
| 354 |
+
T[Continue Autophagy] %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#b197fc,color:#fff style I fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#b197fc,color:#fff style O fill:#74c0fc,color:#fff style P fill:#b197fc,color:#fff style Q fill:#74c0fc,color:#fff style R fill:#74c0fc,color:#fff style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000
|
| 355 |
+
</div> </div> </div> <!-- Sporulation --> <div class="process-showcase"> <h3>🌱 Sporulation: The Ultimate Developmental Program</h3> <div class="process-description"> <h4>Why This Process Demonstrates Biological Programming</h4> <p>Sporulation is a <strong>complete developmental program</strong> that transforms a vegetative cell into dormant spores through precisely coordinated gene expression cascades. It demonstrates how biological systems implement complex developmental algorithms with multiple checkpoints and quality control mechanisms.</p> <div class="key-insight"> <strong>Developmental Programming:</strong> Sporulation implements a master development program with hierarchical gene regulation, checkpoint controls, and failsafe mechanisms that ensure proper cellular differentiation under adverse conditions. </div> </div> <div class="mermaid-container"> <div class="mermaid">
|
| 356 |
+
graph TD
|
| 357 |
+
|
| 358 |
+
A[Nutrient Limitation]
|
| 359 |
+
-->
|
| 360 |
+
B[Meiosis Initiation] B
|
| 361 |
+
-->
|
| 362 |
+
C[Meiotic Gene Expression] C
|
| 363 |
+
-->
|
| 364 |
+
D[DNA Replication] D
|
| 365 |
+
-->
|
| 366 |
+
E[Chromosome Pairing] E
|
| 367 |
+
-->
|
| 368 |
+
F[Meiotic Divisions] F
|
| 369 |
+
-->
|
| 370 |
+
G[Haploid Nuclei] G
|
| 371 |
+
-->
|
| 372 |
+
H[Spore Formation] H
|
| 373 |
+
-->
|
| 374 |
+
I[Spore Wall Assembly] I
|
| 375 |
+
-->
|
| 376 |
+
J[Mature Spores] J
|
| 377 |
+
-->
|
| 378 |
+
K[Spore Dormancy] %% Quality control mechanisms K
|
| 379 |
+
-->
|
| 380 |
+
L[Spore Viability Check] L
|
| 381 |
+
--> M{Spores Viable?} M
|
| 382 |
+
-->|Yes|
|
| 383 |
+
N[Maintain Dormancy] M
|
| 384 |
+
-->|No|
|
| 385 |
+
O[Spore Death] %% Environmental sensing
|
| 386 |
+
P[Environmental Conditions]
|
| 387 |
+
--> Q{Favorable for Growth?} Q
|
| 388 |
+
-->|Yes|
|
| 389 |
+
R[Germination] Q
|
| 390 |
+
-->|No|
|
| 391 |
+
S[Continue Dormancy] R
|
| 392 |
+
-->
|
| 393 |
+
T[Vegetative Growth] %% Key regulators
|
| 394 |
+
U[Ime1]
|
| 395 |
+
--> B
|
| 396 |
+
V[Ime2]
|
| 397 |
+
--> C
|
| 398 |
+
W[Meiotic Genes]
|
| 399 |
+
--> D %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff style L fill:#74c0fc,color:#fff style M fill:#74c0fc,color:#fff style N fill:#b197fc,color:#fff style O fill:#b197fc,color:#fff style P fill:#ff6b6b,color:#fff style Q fill:#74c0fc,color:#fff style R fill:#b197fc,color:#fff style S fill:#b197fc,color:#fff style T fill:#b197fc,color:#fff style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000
|
| 400 |
+
</div> </div> </div> </div> <div class="section"> <h2>🧠 The Computational Paradigms We've Discovered</h2> <p>Our analysis of these representative processes reveals four major computational paradigms that provide empirical evidence for the genome-as-computer-program thesis:</p> <div class="process-description"> <h4>1. The Cellular Operating System</h4> <p>Yeast cells implement a hierarchical control architecture similar to computer operating systems. The "kernel" processes (DNA replication, cell cycle control, protein synthesis) provide fundamental services, while "application" processes (metabolism, stress response, development) run on top of this infrastructure.</p> </div> <div class="process-description"> <h4>2. The Biological Programming Language</h4> <p>Cells use domain-specific programming languages with variables (metabolites, proteins), functions (enzymatic reactions), conditionals (regulatory switches), and loops (feedback mechanisms). These languages are optimized for biological computation and have evolved sophisticated syntax for managing cellular complexity.</p> </div> <div class="process-description"> <h4>3. The Cellular API</h4> <p>Standardized interfaces enable modular cellular programming. Signal transduction pathways, metabolic networks, and regulatory circuits all use common patterns that allow processes to communicate and coordinate. This API-like architecture enables the construction of complex cellular programs from simpler components.</p> </div> <div class="process-description"> <h4>4. The Regulatory Logic Gates</h4> <p>Boolean logic structures are implemented throughout biological regulation. AND gates (multiple inputs required), OR gates (alternative pathways), NOT gates (inhibition), and feedback loops create sophisticated computational circuits that process environmental information and generate appropriate cellular responses.</p> </div> </div> <div class="conclusion"> <h2>🎉 The Revolutionary Conclusion</h2> <p>This analysis of representative yeast cellular processes provides <strong>empirical evidence</strong> that supports the genome-as-computer-program thesis. Through systematic application of our programming framework, we have revealed that biological systems operate as sophisticated computational machines with their own programming languages and operating systems.</p> <p><strong>The implications are profound:</strong></p> <ul> <li><strong>Bio-inspired Computing:</strong> Biological computational patterns can inspire revolutionary new computing paradigms</li> <li><strong>Synthetic Biology:</strong> Understanding cellular programming enables the design of programmable biological systems</li> <li><strong>Medical Applications:</strong> Diseases can be understood as software bugs that can be debugged and fixed</li> <li><strong>Evolutionary Computation:</strong> Evolution becomes visible as a programming process that optimizes biological software</li> </ul> <blockquote> "The genome is indeed like a computer program—not as a metaphor, but as a fundamental reality of how biological systems operate. This analysis provides the empirical evidence to support this revolutionary understanding of biological complexity." </blockquote> <p>We stand at the threshold of a new era in biology - one where we understand life itself as an information processing phenomenon. The yeast cell, in all its computational sophistication, serves as our first complete example of biological software in action.</p> </div> </div> <div class="footer"> <p>🧬 Yeast Processes as Programs: Evidence for the Genome-as-Computer-Program Thesis</p> <p>Genome Logic Modeling Project - Revolutionizing Our Understanding of Biological Complexity</p> </div> </div> <script> // Mermaid Configuration for Detail Preservation // - useMaxWidth: false (prevents auto-collapsing) // - curve: 'linear' (stable arrow rendering) // - htmlLabels: true (preserves complex labels) // - Unique node IDs prevent simplification // - Subgraphs maintain visual grouping mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', primaryTextColor: '#ffffff', primaryBorderColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 01: DNA Replication & Repair - Programming Framework Analysis</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: Arial, sans-serif; line-height: 1.6; margin: 0; padding: 20px; background-color: #f5f5f5; } .container { max-width: 1400px; margin: 0 auto; background: white; padding: 30px; border-radius: 10px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } h1 { color: #333; text-align: center; margin-bottom: 20px; border-bottom: 3px solid #007bff; padding-bottom: 10px; } .intro { background: #e3f2fd; padding: 20px; border-radius: 8px; margin-bottom: 30px; border-left: 4px solid #2196f3; } .intro h2 { color: #1976d2; margin-top: 0; } .toc { background: #f8f9fa; padding: 20px; border-radius: 8px; margin-bottom: 30px; border-left: 4px solid #28a745; } .toc h2 { color: #155724; margin-top: 0; } .toc ul { list-style-type: none; padding: 0; } .toc li { margin: 8px 0; } .toc a { color: #007bff; text-decoration: none; font-weight: bold; padding: 5px 10px; border-radius: 4px; transition: background-color 0.3s; } .toc a:hover { background-color: #e3f2fd; } .process-item { margin: 40px 0; padding: 20px; background: #f8f9fa; border-radius: 8px; border-left: 4px solid #007bff; } .process-item h3 { color: #495057; margin-bottom: 10px; font-size: 1.3em; } .process-item p { color: #6c757d; margin-bottom: 20px; font-style: italic; } .mermaid-container { background: white; border-radius: 8px; padding: 20px; margin: 20px 0; box-shadow: 0 3px 10px rgba(0,0,0,0.1); border: 1px solid #dee2e6; } .mermaid { font-family: Arial, sans-serif !important; font-size: 14px !important; background: white; } .mermaid .node rect, .mermaid .node circle, .mermaid .node ellipse, .mermaid .node polygon { stroke-width: 2px !important; } .mermaid .label { font-family: Arial, sans-serif !important; font-size: 14px !important; } .color-legend { background: #f8f9fa; padding: 15px; border-radius: 8px; margin-bottom: 20px; border: 1px solid #dee2e6; } .color-legend h3 { margin-top: 0; color: #495057; } .footer { text-align: center; margin-top: 50px; padding-top: 20px; border-top: 2px solid #dee2e6; color: #666; } .back-to-top { position: fixed; bottom: 20px; right: 20px; background: #007bff; color: white; padding: 10px 15px; border-radius: 5px; text-decoration: none; box-shadow: 0 2px 5px rgba(0,0,0,0.2); } .back-to-top:hover { background: #0056b3; color: white; } .batch-header { background: linear-gradient(135deg, #007bff 0%, #6610f2 100%); color: white; padding: 20px; border-radius: 10px; margin: 30px 0; text-align: center; } .related-links { background: #d1ecf1; padding: 15px; border-radius: 8px; margin-bottom: 30px; border-left: 4px solid #17a2b8; } </style> </head> <body> <div class="container"> <h1 id="top">Yeast Batch 01: DNA Replication & Repair</h1> <h2 style="text-align: center; color: #666; margin-bottom: 30px;">Programming Framework Analysis - 8 DNA Processes</h2> <div class="intro"> <h2>🧬 DNA Replication & Repair Systems</h2> <p><strong>Batch Overview:</strong> This batch contains 8 fundamental yeast processes responsible for DNA replication, repair, and maintenance. These processes represent the core computational systems that ensure genomic integrity and faithful inheritance of genetic information.</p> <p>Each process demonstrates sophisticated biological programming with checkpoint controls, quality assurance, error correction, and coordinated timing. Together they form an integrated DNA management system that functions as a biological data processing and storage platform.</p> </div> <div class="related-links"> <h3>🔗 Related Yeast Batches</h3> <ul> <li><a href="yeast_batch02_cell_cycle_control.html">Batch 02: Cell Cycle Control</a> <em>(Coming Soon)</em></li> <li><a href="yeast_batch03_protein_synthesis.html">Batch 03: Protein Synthesis & Degradation</a> <em>(Coming Soon)</em></li> <li><a href="yeast_110_processes_comprehensive.html">Yeast Overview - Complete 110 Processes</a></li> </ul> </div> <div class="toc"> <h2>📋 Table of Contents - 8 DNA Processes</h2> <ul> <li><a href="#dna-replication-initiation">1. DNA Replication Initiation</a></li> <li><a href="#dna-replication-elongation">2. DNA Replication Elongation</a></li> <li><a href="#dna-replication-termination">3. DNA Replication Termination</a></li> <li><a href="#base-excision-repair">4. Base Excision Repair</a></li> <li><a href="#nucleotide-excision-repair">5. Nucleotide Excision Repair</a></li> <li><a href="#mismatch-repair">6. Mismatch Repair</a></li> <li><a href="#double-strand-break-repair">7. Double Strand Break Repair</a></li> <li><a href="#telomere-maintenance">8. Telomere Maintenance</a></li> </ul> </div> <div class="color-legend"> <h3>🎨 Programming Framework Color Coding</h3> <ul> <li><strong style="color: #ff6b6b;">Red:</strong> DNA damage signals, checkpoints, and trigger events</li> <li><strong style="color: #feca57;">Yellow:</strong> DNA repair proteins, enzymes, and replication factors</li> <li><strong style="color: #4ecdc4;">Blue:</strong> Replication processes, repair mechanisms, and assembly events</li> <li><strong style="color: #45b7d1;">Light Blue:</strong> DNA intermediates, complexes, and decision points</li> <li><strong style="color: #96ceb4;">Light Green:</strong> Successful repair, replication completion, and genomic integrity</li> </ul> </div> <div class="batch-header"> <h2>Batch 01: DNA Replication & Repair (8 processes)</h2> <p>Essential systems for genomic integrity and faithful DNA inheritance</p> </div> <!-- Process 1: DNA Replication Initiation --> <div class="process-item" id="dna-replication-initiation"> <h3>1. DNA Replication Initiation</h3> <p>Detailed analysis of DNA Replication Initiation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[G1/S Checkpoint]
|
| 5 |
+
-->
|
| 6 |
+
B[Origin Recognition Complex ORC] B
|
| 7 |
+
-->
|
| 8 |
+
C[MCM2-7 Loading] C
|
| 9 |
+
-->
|
| 10 |
+
D[Pre-Replication Complex Assembly] D
|
| 11 |
+
-->
|
| 12 |
+
E[CDK Activation] E
|
| 13 |
+
-->
|
| 14 |
+
F[MCM2-7 Phosphorylation] F
|
| 15 |
+
-->
|
| 16 |
+
G[Cdc45 Recruitment] G
|
| 17 |
+
-->
|
| 18 |
+
H[GINS Complex Assembly] H
|
| 19 |
+
-->
|
| 20 |
+
I[CMG Helicase Formation] I
|
| 21 |
+
-->
|
| 22 |
+
J[DNA Polymerase α Recruitment] J
|
| 23 |
+
-->
|
| 24 |
+
K[Primer Synthesis] K
|
| 25 |
+
-->
|
| 26 |
+
L[DNA Polymerase δ/ε Recruitment] L
|
| 27 |
+
-->
|
| 28 |
+
M[Replication Fork Establishment] M
|
| 29 |
+
-->
|
| 30 |
+
N[Leading Strand Synthesis] N
|
| 31 |
+
-->
|
| 32 |
+
O[Lagging Strand Synthesis] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style K fill:#ffd43b,color:#000 style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000
|
| 33 |
+
</div> </div> </div> <!-- Process 2: DNA Replication Elongation --> <div class="process-item" id="dna-replication-elongation"> <h3>2. DNA Replication Elongation</h3> <p>Detailed analysis of DNA Replication Elongation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 34 |
+
graph TD
|
| 35 |
+
|
| 36 |
+
A[Replication Fork Progression]
|
| 37 |
+
-->
|
| 38 |
+
B[CMG Helicase Unwinding] B
|
| 39 |
+
-->
|
| 40 |
+
C[Single-Strand DNA Binding RPA] C
|
| 41 |
+
-->
|
| 42 |
+
D[Leading Strand Synthesis] D
|
| 43 |
+
-->
|
| 44 |
+
E[Lagging Strand Synthesis] E
|
| 45 |
+
-->
|
| 46 |
+
F[Okazaki Fragment Formation] F
|
| 47 |
+
-->
|
| 48 |
+
G[RNA Primer Removal] G
|
| 49 |
+
-->
|
| 50 |
+
H[DNA Ligase Activity] H
|
| 51 |
+
-->
|
| 52 |
+
I[Chromatin Reassembly] I
|
| 53 |
+
-->
|
| 54 |
+
J[Histone Chaperone Activity] J
|
| 55 |
+
-->
|
| 56 |
+
K[DNA Damage Checkpoint] K
|
| 57 |
+
-->
|
| 58 |
+
L[Replication Stress Response] L
|
| 59 |
+
-->
|
| 60 |
+
M[Fork Protection Complex] M
|
| 61 |
+
-->
|
| 62 |
+
N[DNA Polymerase Switch] N
|
| 63 |
+
-->
|
| 64 |
+
O[Proofreading Activity] O
|
| 65 |
+
-->
|
| 66 |
+
P[Continued Elongation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style K fill:#ff6b6b,color:#fff style L fill:#ff6b6b,color:#fff style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000
|
| 67 |
+
</div> </div> </div> <!-- Process 3: DNA Replication Termination --> <div class="process-item" id="dna-replication-termination"> <h3>3. DNA Replication Termination</h3> <p>Detailed analysis of DNA Replication Termination using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 68 |
+
graph TD
|
| 69 |
+
|
| 70 |
+
A[Replication Fork Convergence]
|
| 71 |
+
-->
|
| 72 |
+
B[Replication Fork Meeting] B
|
| 73 |
+
-->
|
| 74 |
+
C[Topoisomerase II Activity] C
|
| 75 |
+
-->
|
| 76 |
+
D[DNA Decatenation] D
|
| 77 |
+
-->
|
| 78 |
+
E[Daughter Strand Separation] E
|
| 79 |
+
-->
|
| 80 |
+
F[Replication Termination Complete] F
|
| 81 |
+
-->
|
| 82 |
+
G[Chromosome Segregation Preparation] G
|
| 83 |
+
-->
|
| 84 |
+
H[Cohesin Loading] H
|
| 85 |
+
-->
|
| 86 |
+
I[Sister Chromatid Cohesion] I
|
| 87 |
+
-->
|
| 88 |
+
J[Chromosome Condensation Initiation] J
|
| 89 |
+
-->
|
| 90 |
+
K[Replication Termination Checkpoint] K
|
| 91 |
+
--> L{Termination Successful?} L
|
| 92 |
+
-->|Yes|
|
| 93 |
+
M[Proceed to Mitosis] L
|
| 94 |
+
-->|No|
|
| 95 |
+
N[Termination Stress Response] N
|
| 96 |
+
-->
|
| 97 |
+
O[Replication Restart] O
|
| 98 |
+
-->
|
| 99 |
+
P[Fork Stabilization] P
|
| 100 |
+
-->
|
| 101 |
+
Q[Termination Recovery] Q
|
| 102 |
+
--> F %% Key proteins
|
| 103 |
+
R[Topoisomerase II]
|
| 104 |
+
--> C
|
| 105 |
+
S[Cohesin]
|
| 106 |
+
--> H
|
| 107 |
+
T[Condensin]
|
| 108 |
+
--> J
|
| 109 |
+
U[Chk1]
|
| 110 |
+
--> K
|
| 111 |
+
V[Rad53]
|
| 112 |
+
--> N
|
| 113 |
+
W[Rrm3]
|
| 114 |
+
--> O
|
| 115 |
+
X[Pif1]
|
| 116 |
+
--> O %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#b197fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style J fill:#ffd43b,color:#000 style K fill:#ffd43b,color:#000 style L fill:#74c0fc,color:#fff style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000 style X fill:#ffd43b,color:#000
|
| 117 |
+
</div> </div> </div> <!-- Process 4: Base Excision Repair --> <div class="process-item" id="base-excision-repair"> <h3>4. Base Excision Repair</h3> <p>Detailed analysis of Base Excision Repair using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 118 |
+
graph TD
|
| 119 |
+
|
| 120 |
+
A[DNA Base Damage]
|
| 121 |
+
-->
|
| 122 |
+
B[DNA Glycosylase Recognition] B
|
| 123 |
+
-->
|
| 124 |
+
C[Damaged Base Removal] C
|
| 125 |
+
-->
|
| 126 |
+
D[AP Site Formation] D
|
| 127 |
+
-->
|
| 128 |
+
E[AP Endonuclease Activity] E
|
| 129 |
+
-->
|
| 130 |
+
F[DNA Strand Break] F
|
| 131 |
+
-->
|
| 132 |
+
G[DNA Polymerase β] G
|
| 133 |
+
-->
|
| 134 |
+
H[Gap Filling] H
|
| 135 |
+
-->
|
| 136 |
+
I[DNA Ligase III] I
|
| 137 |
+
-->
|
| 138 |
+
J[Nick Sealing] J
|
| 139 |
+
-->
|
| 140 |
+
K[Base Excision Repair Complete] %% Alternative pathways D
|
| 141 |
+
-->
|
| 142 |
+
L[Long Patch BER] L
|
| 143 |
+
-->
|
| 144 |
+
M[DNA Polymerase δ/ε] M
|
| 145 |
+
-->
|
| 146 |
+
N[Flap Endonuclease] N
|
| 147 |
+
-->
|
| 148 |
+
O[DNA Ligase I] O
|
| 149 |
+
--> K %% Key proteins
|
| 150 |
+
P[DNA Glycosylase]
|
| 151 |
+
--> B
|
| 152 |
+
Q[AP Endonuclease]
|
| 153 |
+
--> E
|
| 154 |
+
R[DNA Pol β]
|
| 155 |
+
--> G
|
| 156 |
+
S[DNA Ligase III]
|
| 157 |
+
--> I
|
| 158 |
+
T[DNA Pol δ]
|
| 159 |
+
--> M
|
| 160 |
+
U[DNA Pol ε]
|
| 161 |
+
--> M
|
| 162 |
+
V[FEN1]
|
| 163 |
+
--> N
|
| 164 |
+
W[DNA Ligase I]
|
| 165 |
+
--> O
|
| 166 |
+
X[XRCC1]
|
| 167 |
+
--> I %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#74c0fc,color:#fff style E fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style K fill:#b197fc,color:#fff style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000 style X fill:#ffd43b,color:#000
|
| 168 |
+
</div> </div> </div> <!-- Process 5: Nucleotide Excision Repair --> <div class="process-item" id="nucleotide-excision-repair"> <h3>5. Nucleotide Excision Repair</h3> <p>Detailed analysis of Nucleotide Excision Repair using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 169 |
+
graph TD
|
| 170 |
+
|
| 171 |
+
A[DNA Lesion Detection]
|
| 172 |
+
-->
|
| 173 |
+
B[XPC-RAD23B Recognition] B
|
| 174 |
+
-->
|
| 175 |
+
C[TFIIH Recruitment] C
|
| 176 |
+
-->
|
| 177 |
+
D[DNA Unwinding] D
|
| 178 |
+
-->
|
| 179 |
+
E[XPA Binding] E
|
| 180 |
+
-->
|
| 181 |
+
F[XPG Incision] F
|
| 182 |
+
-->
|
| 183 |
+
G[XPF-ERCC1 Incision] G
|
| 184 |
+
-->
|
| 185 |
+
H[Oligonucleotide Removal] H
|
| 186 |
+
-->
|
| 187 |
+
I[DNA Polymerase δ/ε] I
|
| 188 |
+
-->
|
| 189 |
+
J[Gap Filling] J
|
| 190 |
+
-->
|
| 191 |
+
K[DNA Ligase I] K
|
| 192 |
+
-->
|
| 193 |
+
L[NER Complete] %% Key proteins
|
| 194 |
+
M[XPC]
|
| 195 |
+
--> B
|
| 196 |
+
N[RAD23B]
|
| 197 |
+
--> B
|
| 198 |
+
O[TFIIH]
|
| 199 |
+
--> C
|
| 200 |
+
P[XPA]
|
| 201 |
+
--> E
|
| 202 |
+
Q[XPG]
|
| 203 |
+
--> F
|
| 204 |
+
R[XPF]
|
| 205 |
+
--> G
|
| 206 |
+
S[ERCC1]
|
| 207 |
+
--> G
|
| 208 |
+
T[DNA Pol δ]
|
| 209 |
+
--> I
|
| 210 |
+
U[DNA Pol ε]
|
| 211 |
+
--> I
|
| 212 |
+
V[DNA Ligase I]
|
| 213 |
+
--> K %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style I fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style K fill:#ffd43b,color:#000 style L fill:#b197fc,color:#fff style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000
|
| 214 |
+
</div> </div> </div> <!-- Process 6: Mismatch Repair --> <div class="process-item" id="mismatch-repair"> <h3>6. Mismatch Repair</h3> <p>Detailed analysis of Mismatch Repair using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 215 |
+
graph TD
|
| 216 |
+
|
| 217 |
+
A[Mismatch Detection]
|
| 218 |
+
-->
|
| 219 |
+
B[MutSα Recognition] B
|
| 220 |
+
-->
|
| 221 |
+
C[MutLα Recruitment] C
|
| 222 |
+
-->
|
| 223 |
+
D[PCNA Loading] D
|
| 224 |
+
-->
|
| 225 |
+
E[Exonuclease I Activity] E
|
| 226 |
+
-->
|
| 227 |
+
F[DNA Strand Excision] F
|
| 228 |
+
-->
|
| 229 |
+
G[DNA Polymerase δ] G
|
| 230 |
+
-->
|
| 231 |
+
H[Gap Filling] H
|
| 232 |
+
-->
|
| 233 |
+
I[DNA Ligase I] I
|
| 234 |
+
-->
|
| 235 |
+
J[Mismatch Repair Complete] %% Alternative pathway A
|
| 236 |
+
-->
|
| 237 |
+
K[MutSβ Recognition] K
|
| 238 |
+
-->
|
| 239 |
+
L[MutLβ Recruitment] L
|
| 240 |
+
-->
|
| 241 |
+
M[Exonuclease I Activity] M
|
| 242 |
+
--> F %% Key proteins
|
| 243 |
+
N[MutSα]
|
| 244 |
+
--> B
|
| 245 |
+
O[MutLα]
|
| 246 |
+
--> C
|
| 247 |
+
P[PCNA]
|
| 248 |
+
--> D
|
| 249 |
+
Q[Exonuclease I]
|
| 250 |
+
--> E
|
| 251 |
+
R[DNA Pol δ]
|
| 252 |
+
--> G
|
| 253 |
+
S[DNA Ligase I]
|
| 254 |
+
--> I
|
| 255 |
+
T[MutSβ]
|
| 256 |
+
--> K
|
| 257 |
+
U[MutLβ]
|
| 258 |
+
--> L %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff style K fill:#ffd43b,color:#000 style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000
|
| 259 |
+
</div> </div> </div> <!-- Process 7: Double Strand Break Repair --> <div class="process-item" id="double-strand-break-repair"> <h3>7. Double Strand Break Repair</h3> <p>Detailed analysis of Double Strand Break Repair using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 260 |
+
graph TD
|
| 261 |
+
|
| 262 |
+
A[DNA Double-Strand Break]
|
| 263 |
+
-->
|
| 264 |
+
B[MRN Complex Recognition] B
|
| 265 |
+
-->
|
| 266 |
+
C[ATM Activation] C
|
| 267 |
+
-->
|
| 268 |
+
D[γ-H2AX Phosphorylation] D
|
| 269 |
+
-->
|
| 270 |
+
E[53BP1 Recruitment] E
|
| 271 |
+
--> F{Repair Pathway Choice?} F
|
| 272 |
+
-->|Homologous Recombination|
|
| 273 |
+
G[Rad51 Loading] F
|
| 274 |
+
-->|Non-Homologous End Joining|
|
| 275 |
+
H[Ku70/Ku80 Binding] G
|
| 276 |
+
-->
|
| 277 |
+
I[DNA Strand Invasion] I
|
| 278 |
+
-->
|
| 279 |
+
J[DNA Synthesis] J
|
| 280 |
+
-->
|
| 281 |
+
K[Holliday Junction Resolution] K
|
| 282 |
+
-->
|
| 283 |
+
L[HR Complete] H
|
| 284 |
+
-->
|
| 285 |
+
M[DNA-PKcs Activation] M
|
| 286 |
+
-->
|
| 287 |
+
N[Artemis Cleavage] N
|
| 288 |
+
-->
|
| 289 |
+
O[DNA Polymerase μ/λ] O
|
| 290 |
+
-->
|
| 291 |
+
P[DNA Ligase IV] P
|
| 292 |
+
-->
|
| 293 |
+
Q[NHEJ Complete] %% Key proteins
|
| 294 |
+
R[Mre11]
|
| 295 |
+
--> B
|
| 296 |
+
S[Rad50]
|
| 297 |
+
--> B
|
| 298 |
+
T[Nbs1]
|
| 299 |
+
--> B
|
| 300 |
+
U[ATM]
|
| 301 |
+
--> C
|
| 302 |
+
V[53BP1]
|
| 303 |
+
--> E
|
| 304 |
+
W[Rad51]
|
| 305 |
+
--> G
|
| 306 |
+
X[Ku70]
|
| 307 |
+
--> H
|
| 308 |
+
Y[Ku80]
|
| 309 |
+
--> H
|
| 310 |
+
Z[DNA-PKcs]
|
| 311 |
+
--> M A
|
| 312 |
+
A[Artemis]
|
| 313 |
+
--> N B
|
| 314 |
+
B[DNA Ligase IV]
|
| 315 |
+
--> P %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style K fill:#ffd43b,color:#000 style L fill:#b197fc,color:#fff style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#ffd43b,color:#000 style Q fill:#b197fc,color:#fff style R fill:#ffd43b,color:#000 style S fill:#ffd43b,color:#000 style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000 style X fill:#ffd43b,color:#000 style Y fill:#ffd43b,color:#000 style Z fill:#ffd43b,color:#000 style AA fill:#ffd43b,color:#000 style BB fill:#ffd43b,color:#000
|
| 316 |
+
</div> </div> </div> <!-- Process 8: Telomere Maintenance --> <div class="process-item" id="telomere-maintenance"> <h3>8. Telomere Maintenance</h3> <p>Detailed analysis of Telomere Maintenance using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 317 |
+
graph TD
|
| 318 |
+
|
| 319 |
+
A[Telomere Shortening]
|
| 320 |
+
-->
|
| 321 |
+
B[Telomere Length Sensing] B
|
| 322 |
+
--> C{Telomere Length?} C
|
| 323 |
+
-->|Short|
|
| 324 |
+
D[Telomerase Recruitment] C
|
| 325 |
+
-->|Long|
|
| 326 |
+
E[Telomere Capping] D
|
| 327 |
+
-->
|
| 328 |
+
F[TERT Activation] F
|
| 329 |
+
-->
|
| 330 |
+
G[Telomerase RNA Template] G
|
| 331 |
+
-->
|
| 332 |
+
H[Telomere Extension] H
|
| 333 |
+
-->
|
| 334 |
+
I[Telomere Length Restoration] I
|
| 335 |
+
-->
|
| 336 |
+
J[Telomere Maintenance Complete] E
|
| 337 |
+
-->
|
| 338 |
+
K[TRF1 Binding] K
|
| 339 |
+
-->
|
| 340 |
+
L[TRF2 Binding] L
|
| 341 |
+
-->
|
| 342 |
+
M[TIN2 Recruitment] M
|
| 343 |
+
-->
|
| 344 |
+
N[TPP1 Binding] N
|
| 345 |
+
-->
|
| 346 |
+
O[POT1 Binding] O
|
| 347 |
+
-->
|
| 348 |
+
P[Telomere Protection] %% Alternative pathway P
|
| 349 |
+
--> Q{Cell Type?} Q
|
| 350 |
+
-->|Stem Cell|
|
| 351 |
+
R[Telomerase Expression] Q
|
| 352 |
+
-->|Somatic Cell|
|
| 353 |
+
S[Senescence Induction] %% Key proteins
|
| 354 |
+
T[TERT]
|
| 355 |
+
--> F
|
| 356 |
+
U[TERC]
|
| 357 |
+
--> G
|
| 358 |
+
V[TRF1]
|
| 359 |
+
--> K
|
| 360 |
+
W[TRF2]
|
| 361 |
+
--> L
|
| 362 |
+
X[TIN2]
|
| 363 |
+
--> M
|
| 364 |
+
Y[TPP1]
|
| 365 |
+
--> N
|
| 366 |
+
Z[POT1]
|
| 367 |
+
--> O A
|
| 368 |
+
A[ATM]
|
| 369 |
+
--> B B
|
| 370 |
+
B[ATR]
|
| 371 |
+
--> B %% Styling style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#ffd43b,color:#000 style L fill:#ffd43b,color:#000 style M fill:#ffd43b,color:#000 style N fill:#ffd43b,color:#000 style O fill:#ffd43b,color:#000 style P fill:#b197fc,color:#fff style Q fill:#74c0fc,color:#fff style R fill:#ffd43b,color:#000 style S fill:#b197fc,color:#fff style T fill:#ffd43b,color:#000 style U fill:#ffd43b,color:#000 style V fill:#ffd43b,color:#000 style W fill:#ffd43b,color:#000 style X fill:#ffd43b,color:#000 style Y fill:#ffd43b,color:#000 style Z fill:#ffd43b,color:#000 style AA fill:#ffd43b,color:#000 style BB fill:#ffd43b,color:#000
|
| 372 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast DNA replication and repair systems</p> <p>Each flowchart preserves maximum detail through optimized Mermaid configuration</p> <p><em>Batch 01 of 15: DNA Replication & Repair</em></p> </div> </div> <a href="#top" class="back-to-top">↑ Top</a> <script> // Mermaid Configuration for Maximum Detail Preservation mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', primaryTextColor: '#ffffff', primaryBorderColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch02_cell_cycle_control.html
ADDED
|
@@ -0,0 +1,167 @@
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 02: Cell Cycle Control</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 02</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 02: Cell Cycle Control (8 processes)</h2> <p>Cell division timing and checkpoint control systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Cell Cycle Processes</h2> <ul> <li><a href="#g2m-transition">1. G2M Transition</a></li> <li><a href="#mitosis-progression">2. Mitosis Progression</a></li> <li><a href="#spindle-checkpoint">3. Spindle Assembly Checkpoint</a></li> <li><a href="#anaphase-promoting">4. Anaphase Promoting Complex</a></li> <li><a href="#cytokinesis">5. Cytokinesis</a></li> <li><a href="#cell-cycle-exit">6. Cell Cycle Exit</a></li> <li><a href="#chromosome-separation">7. Chromosome Separation</a></li> <li><a href="#nuclear-division">8. Nuclear Division</a></li> </ul> </div> <!-- Process 1: G2M Transition --> <div class="process-item" id="g2m-transition"> <h3>1. G2M Transition</h3> <p>Detailed analysis of G2M Transition using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[G2 Phase]
|
| 5 |
+
-->
|
| 6 |
+
B[Cyclin B Synthesis] B
|
| 7 |
+
-->
|
| 8 |
+
C[Cdk1 Activation] C
|
| 9 |
+
-->
|
| 10 |
+
D[Cyclin B-Cdk1 Complex] D
|
| 11 |
+
-->
|
| 12 |
+
E[Wee1 Inhibition] E
|
| 13 |
+
-->
|
| 14 |
+
F[Cdc25 Activation] F
|
| 15 |
+
-->
|
| 16 |
+
G[Cdk1 Dephosphorylation] G
|
| 17 |
+
-->
|
| 18 |
+
H[Cyclin B-Cdk1 Active] H
|
| 19 |
+
-->
|
| 20 |
+
I[Nuclear Envelope Breakdown] I
|
| 21 |
+
-->
|
| 22 |
+
J[Spindle Assembly Initiation] J
|
| 23 |
+
-->
|
| 24 |
+
K[Chromosome Condensation] K
|
| 25 |
+
-->
|
| 26 |
+
L[G2/M Transition Complete] L
|
| 27 |
+
--> M{DNA Damage Checkpoint?} M
|
| 28 |
+
-->|Yes|
|
| 29 |
+
N[Chk1/Chk2 Activation] N
|
| 30 |
+
-->
|
| 31 |
+
O[Wee1 Activation] O
|
| 32 |
+
-->
|
| 33 |
+
P[Cdc25 Inhibition] P
|
| 34 |
+
-->
|
| 35 |
+
Q[G2 Arrest] Q
|
| 36 |
+
-->
|
| 37 |
+
R[DNA Repair] R
|
| 38 |
+
-->
|
| 39 |
+
S[Checkpoint Recovery] S
|
| 40 |
+
--> E M
|
| 41 |
+
-->|No|
|
| 42 |
+
T[Proceed to Mitosis] style A fill:#ff6b6b,color:#fff style B fill:#b197fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#74c0fc,color:#fff style H fill:#74c0fc,color:#fff style L fill:#b197fc,color:#fff style M fill:#74c0fc,color:#fff style T fill:#ffd43b,color:#000
|
| 43 |
+
</div> </div> </div> <!-- Process 2: Mitosis Progression --> <div class="process-item" id="mitosis-progression"> <h3>2. Mitosis Progression</h3> <p>Detailed analysis of Mitosis Progression using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 44 |
+
graph TD
|
| 45 |
+
|
| 46 |
+
A[G2/M Transition Complete]
|
| 47 |
+
-->
|
| 48 |
+
B[Prophase Initiation] B
|
| 49 |
+
-->
|
| 50 |
+
C[Chromosome Condensation] C
|
| 51 |
+
-->
|
| 52 |
+
D[Cohesin Removal] D
|
| 53 |
+
-->
|
| 54 |
+
E[Sister Chromatid Separation] E
|
| 55 |
+
-->
|
| 56 |
+
F[Kinetochore Assembly] F
|
| 57 |
+
-->
|
| 58 |
+
G[Microtubule Capture] G
|
| 59 |
+
-->
|
| 60 |
+
H[Metaphase Alignment] H
|
| 61 |
+
-->
|
| 62 |
+
I[Spindle Assembly Checkpoint] I
|
| 63 |
+
--> J{All Chromosomes Aligned?} J
|
| 64 |
+
-->|No|
|
| 65 |
+
K[Anaphase Delay] K
|
| 66 |
+
-->
|
| 67 |
+
L[Kinetochore-Microtubule Correction] L
|
| 68 |
+
--> H J
|
| 69 |
+
-->|Yes|
|
| 70 |
+
M[Anaphase Promoting Complex] M
|
| 71 |
+
-->
|
| 72 |
+
N[Securin Degradation] N
|
| 73 |
+
-->
|
| 74 |
+
O[Separase Activation] O
|
| 75 |
+
-->
|
| 76 |
+
P[Cohesin Cleavage] P
|
| 77 |
+
-->
|
| 78 |
+
Q[Anaphase A] Q
|
| 79 |
+
-->
|
| 80 |
+
R[Chromosome Segregation] R
|
| 81 |
+
-->
|
| 82 |
+
S[Anaphase B] S
|
| 83 |
+
-->
|
| 84 |
+
T[Spindle Elongation] T
|
| 85 |
+
-->
|
| 86 |
+
U[Telophase Initiation] U
|
| 87 |
+
-->
|
| 88 |
+
V[Nuclear Envelope Reformation] V
|
| 89 |
+
-->
|
| 90 |
+
W[Chromosome Decondensation] W
|
| 91 |
+
-->
|
| 92 |
+
X[Mitosis Complete] style A fill:#b197fc,color:#fff style B fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style J fill:#74c0fc,color:#fff style M fill:#ffd43b,color:#000 style R fill:#b197fc,color:#fff style X fill:#b197fc,color:#fff
|
| 93 |
+
</div> </div> </div> <!-- Process 3: Spindle Assembly Checkpoint --> <div class="process-item" id="spindle-checkpoint"> <h3>3. Spindle Assembly Checkpoint</h3> <p>Detailed analysis of Spindle Assembly Checkpoint using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 94 |
+
graph TD
|
| 95 |
+
|
| 96 |
+
A[Kinetochore Attachment]
|
| 97 |
+
-->
|
| 98 |
+
B[Mad2 Recruitment] B
|
| 99 |
+
-->
|
| 100 |
+
C[Mad2-Cdc20 Complex] C
|
| 101 |
+
-->
|
| 102 |
+
D[APC/C Inhibition] D
|
| 103 |
+
-->
|
| 104 |
+
E[Securin Stabilization] E
|
| 105 |
+
-->
|
| 106 |
+
F[Separase Inhibition] F
|
| 107 |
+
-->
|
| 108 |
+
G[Cohesin Protection] G
|
| 109 |
+
-->
|
| 110 |
+
H[Anaphase Delay] H
|
| 111 |
+
-->
|
| 112 |
+
I[Chromosome Alignment Check] I
|
| 113 |
+
--> J{All Chromosomes Aligned?} J
|
| 114 |
+
-->|No|
|
| 115 |
+
K[Kinetochore-Microtubule Correction] K
|
| 116 |
+
-->
|
| 117 |
+
L[Aurora B Activity] L
|
| 118 |
+
-->
|
| 119 |
+
M[Microtubule Detachment] M
|
| 120 |
+
-->
|
| 121 |
+
N[Re-attachment Attempt] N
|
| 122 |
+
--> I J
|
| 123 |
+
-->|Yes|
|
| 124 |
+
O[Mad2 Release] O
|
| 125 |
+
-->
|
| 126 |
+
P[Cdc20 Activation] P
|
| 127 |
+
-->
|
| 128 |
+
Q[APC/C Activation] Q
|
| 129 |
+
-->
|
| 130 |
+
R[Securin Degradation] R
|
| 131 |
+
-->
|
| 132 |
+
S[Separase Activation] S
|
| 133 |
+
-->
|
| 134 |
+
T[Cohesin Cleavage] T
|
| 135 |
+
-->
|
| 136 |
+
U[Anaphase Onset] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style H fill:#b197fc,color:#fff style J fill:#74c0fc,color:#fff style U fill:#b197fc,color:#fff
|
| 137 |
+
</div> </div> </div> <!-- Process 4: Anaphase Promoting Complex --> <div class="process-item" id="anaphase-promoting"> <h3>4. Anaphase Promoting Complex</h3> <p>Detailed analysis of Anaphase Promoting Complex using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 138 |
+
graph TD
|
| 139 |
+
|
| 140 |
+
A[Spindle Assembly Checkpoint Release]
|
| 141 |
+
-->
|
| 142 |
+
B[Cdc20 Activation] B
|
| 143 |
+
-->
|
| 144 |
+
C[APC/C Activation] C
|
| 145 |
+
-->
|
| 146 |
+
D[Securin Recognition] D
|
| 147 |
+
-->
|
| 148 |
+
E[Securin Ubiquitination] E
|
| 149 |
+
-->
|
| 150 |
+
F[Securin Degradation] F
|
| 151 |
+
-->
|
| 152 |
+
G[Separase Activation] G
|
| 153 |
+
-->
|
| 154 |
+
H[Cohesin Cleavage] H
|
| 155 |
+
-->
|
| 156 |
+
I[Sister Chromatid Separation] I
|
| 157 |
+
-->
|
| 158 |
+
J[Anaphase A] J
|
| 159 |
+
-->
|
| 160 |
+
K[Chromosome Segregation] K
|
| 161 |
+
-->
|
| 162 |
+
L[Anaphase B] L
|
| 163 |
+
-->
|
| 164 |
+
M[Spindle Elongation] M
|
| 165 |
+
-->
|
| 166 |
+
N[Anaphase Complete] style A fill:#b197fc,color:#fff style C fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style I fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff style N fill:#b197fc,color:#fff
|
| 167 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast cell cycle control and division timing systems</p> <p><em>Batch 02 of 15: Cell Cycle Control</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch03_protein_synthesis_degradation.html
ADDED
|
@@ -0,0 +1,126 @@
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 03: Protein Synthesis & Degradation</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 03</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 03: Protein Synthesis & Degradation (8 processes)</h2> <p>Protein production, folding, targeting, and quality control systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Protein Processes</h2> <ul> <li><a href="#translation-initiation">1. Translation Initiation</a></li> <li><a href="#translation-elongation">2. Translation Elongation</a></li> <li><a href="#protein-folding">3. Protein Folding</a></li> <li><a href="#protein-targeting">4. Protein Targeting</a></li> <li><a href="#ubiquitin-proteasome">5. Ubiquitin-Proteasome System</a></li> <li><a href="#autophagy">6. Autophagy</a></li> <li><a href="#er-quality-control">7. ER Quality Control</a></li> <li><a href="#protein-secretion">8. Protein Secretion</a></li> </ul> </div> <!-- Process 1: Translation Initiation --> <div class="process-item" id="translation-initiation"> <h3>1. Translation Initiation</h3> <p>Detailed analysis of Translation Initiation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[mRNA Export]
|
| 5 |
+
-->
|
| 6 |
+
B[5' Cap Recognition] B
|
| 7 |
+
-->
|
| 8 |
+
C[eIF4E Binding] C
|
| 9 |
+
-->
|
| 10 |
+
D[eIF4G Recruitment] D
|
| 11 |
+
-->
|
| 12 |
+
E[eIF4A Activation] E
|
| 13 |
+
-->
|
| 14 |
+
F[43S Pre-initiation Complex] F
|
| 15 |
+
-->
|
| 16 |
+
G[mRNA Scanning] G
|
| 17 |
+
-->
|
| 18 |
+
H[Start Codon Recognition] H
|
| 19 |
+
-->
|
| 20 |
+
I[60S Subunit Joining] I
|
| 21 |
+
-->
|
| 22 |
+
J[Translation Initiation Complete] J
|
| 23 |
+
-->
|
| 24 |
+
K[Translation Elongation] A
|
| 25 |
+
-->
|
| 26 |
+
L[IRES Recognition] L
|
| 27 |
+
-->
|
| 28 |
+
M[Direct Ribosome Binding] M
|
| 29 |
+
-->
|
| 30 |
+
N[IRES-mediated Initiation] N
|
| 31 |
+
--> K style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style H fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff
|
| 32 |
+
</div> </div> </div> <!-- Process 2: Translation Elongation --> <div class="process-item" id="translation-elongation"> <h3>2. Translation Elongation</h3> <p>Detailed analysis of Translation Elongation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 33 |
+
graph TD
|
| 34 |
+
|
| 35 |
+
A[Translation Initiation Complete]
|
| 36 |
+
-->
|
| 37 |
+
B[tRNA Charging] B
|
| 38 |
+
-->
|
| 39 |
+
C[Aminoacyl-tRNA Binding] C
|
| 40 |
+
-->
|
| 41 |
+
D[EF-Tu Delivery] D
|
| 42 |
+
-->
|
| 43 |
+
E[Codon-Anticodon Recognition] E
|
| 44 |
+
-->
|
| 45 |
+
F[Peptide Bond Formation] F
|
| 46 |
+
-->
|
| 47 |
+
G[Translocation] G
|
| 48 |
+
-->
|
| 49 |
+
H[Next Codon Exposure] H
|
| 50 |
+
--> I{Stop Codon?} I
|
| 51 |
+
-->|No|
|
| 52 |
+
J[Continue Elongation] J
|
| 53 |
+
--> C I
|
| 54 |
+
-->|Yes|
|
| 55 |
+
K[Release Factor Binding] K
|
| 56 |
+
-->
|
| 57 |
+
L[Peptide Release] L
|
| 58 |
+
-->
|
| 59 |
+
M[Translation Termination] M
|
| 60 |
+
-->
|
| 61 |
+
N[Protein Synthesis Complete] C
|
| 62 |
+
--> O{Correct tRNA?} O
|
| 63 |
+
-->|No|
|
| 64 |
+
P[Proofreading] P
|
| 65 |
+
-->
|
| 66 |
+
Q[tRNA Rejection] Q
|
| 67 |
+
--> C style A fill:#b197fc,color:#fff style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style I fill:#74c0fc,color:#fff style N fill:#b197fc,color:#fff
|
| 68 |
+
</div> </div> </div> <!-- Process 3: Protein Folding --> <div class="process-item" id="protein-folding"> <h3>3. Protein Folding</h3> <p>Detailed analysis of Protein Folding using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 69 |
+
graph TD
|
| 70 |
+
|
| 71 |
+
A[Nascent Protein Release]
|
| 72 |
+
-->
|
| 73 |
+
B[Chaperone Recognition] B
|
| 74 |
+
-->
|
| 75 |
+
C[Hsp70 Binding] C
|
| 76 |
+
-->
|
| 77 |
+
D[ATP Hydrolysis] D
|
| 78 |
+
-->
|
| 79 |
+
E[Protein Unfolding] E
|
| 80 |
+
-->
|
| 81 |
+
F[Correct Folding Attempt] F
|
| 82 |
+
--> G{Properly Folded?} G
|
| 83 |
+
-->|No|
|
| 84 |
+
H[Refolding Cycle] H
|
| 85 |
+
--> C G
|
| 86 |
+
-->|Yes|
|
| 87 |
+
I[Chaperone Release] I
|
| 88 |
+
-->
|
| 89 |
+
J[Protein Folding Complete] J
|
| 90 |
+
-->
|
| 91 |
+
K[Functional Protein] A
|
| 92 |
+
-->
|
| 93 |
+
L[Spontaneous Folding] L
|
| 94 |
+
-->
|
| 95 |
+
M[Intrinsic Folding] M
|
| 96 |
+
--> N{Stable Structure?} N
|
| 97 |
+
-->|Yes| K N
|
| 98 |
+
-->|No|
|
| 99 |
+
O[Misfolded Protein] O
|
| 100 |
+
-->
|
| 101 |
+
P[Aggregation Prevention] P
|
| 102 |
+
-->
|
| 103 |
+
Q[Proteasome Targeting] style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff style O fill:#ff6b6b,color:#fff
|
| 104 |
+
</div> </div> </div> <!-- Process 4: Ubiquitin-Proteasome System --> <div class="process-item" id="ubiquitin-proteasome"> <h3>5. Ubiquitin-Proteasome System</h3> <p>Detailed analysis of the Ubiquitin-Proteasome System using the Programming Framework, revealing computational logic for protein degradation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 105 |
+
graph TD
|
| 106 |
+
|
| 107 |
+
A[Target Protein]
|
| 108 |
+
-->
|
| 109 |
+
B[E1 Ubiquitin Activating] B
|
| 110 |
+
-->
|
| 111 |
+
C[E2 Ubiquitin Conjugating] C
|
| 112 |
+
-->
|
| 113 |
+
D[E3 Ubiquitin Ligase] D
|
| 114 |
+
-->
|
| 115 |
+
E[Polyubiquitin Chain] E
|
| 116 |
+
-->
|
| 117 |
+
F[26S Proteasome Recognition] F
|
| 118 |
+
-->
|
| 119 |
+
G[Protein Unfolding] G
|
| 120 |
+
-->
|
| 121 |
+
H[Proteolytic Cleavage] H
|
| 122 |
+
-->
|
| 123 |
+
I[Peptide Products] I
|
| 124 |
+
-->
|
| 125 |
+
J[Ubiquitin Recycling] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style J fill:#ffd43b,color:#000
|
| 126 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast protein synthesis and quality control systems</p> <p><em>Batch 03 of 15: Protein Synthesis & Degradation</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch04_signal_transduction.html
ADDED
|
@@ -0,0 +1,95 @@
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 04: Signal Transduction</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 04</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 04: Signal Transduction (8 processes)</h2> <p>Cellular communication and signaling pathway systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Signal Transduction Processes</h2> <ul> <li><a href="#camp-pka">1. cAMP-PKA Pathway</a></li> <li><a href="#mapk-cascade">2. MAPK Cascade</a></li> <li><a href="#calcium-signaling">3. Calcium Signaling</a></li> <li><a href="#torc1-pathway">4. TORC1 Pathway</a></li> <li><a href="#ras-signaling">5. Ras Signaling</a></li> <li><a href="#two-component">6. Two-Component System</a></li> <li><a href="#pheromone-response">7. Pheromone Response</a></li> <li><a href="#osmotic-stress">8. Osmotic Stress Response</a></li> </ul> </div> <!-- Process 1: cAMP-PKA Pathway --> <div class="process-item" id="camp-pka"> <h3>1. cAMP-PKA Pathway</h3> <p>Detailed analysis of the cAMP-PKA pathway using the Programming Framework, revealing computational logic for nutrient sensing and metabolic regulation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Glucose Depletion]
|
| 5 |
+
-->
|
| 6 |
+
B[Adenylyl Cyclase Activation] B
|
| 7 |
+
-->
|
| 8 |
+
C[cAMP Synthesis] C
|
| 9 |
+
-->
|
| 10 |
+
D[PKA Activation] D
|
| 11 |
+
-->
|
| 12 |
+
E[Regulatory Subunit Release] E
|
| 13 |
+
-->
|
| 14 |
+
F[Catalytic Subunit Active] F
|
| 15 |
+
-->
|
| 16 |
+
G[Target Phosphorylation] G
|
| 17 |
+
-->
|
| 18 |
+
H[Transcriptional Activation] H
|
| 19 |
+
-->
|
| 20 |
+
I[Gluconeogenesis Genes] I
|
| 21 |
+
-->
|
| 22 |
+
J[Glucose Production]
|
| 23 |
+
K[High Glucose]
|
| 24 |
+
-->
|
| 25 |
+
L[PKA Inhibition] L
|
| 26 |
+
-->
|
| 27 |
+
M[Glycolysis Activation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style H fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff
|
| 28 |
+
</div> </div> </div> <!-- Process 2: MAPK Cascade --> <div class="process-item" id="mapk-cascade"> <h3>2. MAPK Cascade</h3> <p>Detailed analysis of MAPK cascade using the Programming Framework, revealing computational logic for stress response amplification.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 29 |
+
graph TD
|
| 30 |
+
|
| 31 |
+
A[Environmental Stress]
|
| 32 |
+
-->
|
| 33 |
+
B[Sensor Kinase] B
|
| 34 |
+
-->
|
| 35 |
+
C[MAPKKK Activation] C
|
| 36 |
+
-->
|
| 37 |
+
D[MAPKK Phosphorylation] D
|
| 38 |
+
-->
|
| 39 |
+
E[MAPK Phosphorylation] E
|
| 40 |
+
-->
|
| 41 |
+
F[Nuclear Translocation] F
|
| 42 |
+
-->
|
| 43 |
+
G[Transcription Factor Phosphorylation] G
|
| 44 |
+
-->
|
| 45 |
+
H[Gene Expression] H
|
| 46 |
+
-->
|
| 47 |
+
I[Stress Response Proteins] I
|
| 48 |
+
-->
|
| 49 |
+
J[Cellular Adaptation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff
|
| 50 |
+
</div> </div> </div> <!-- Process 3: TORC1 Pathway --> <div class="process-item" id="torc1-pathway"> <h3>4. TORC1 Pathway</h3> <p>Detailed analysis of TORC1 pathway using the Programming Framework, revealing computational logic for nutrient sensing and growth control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 51 |
+
graph TD
|
| 52 |
+
|
| 53 |
+
A[Nutrient Availability]
|
| 54 |
+
-->
|
| 55 |
+
B[Amino Acid Sensing] B
|
| 56 |
+
-->
|
| 57 |
+
C[TORC1 Activation] C
|
| 58 |
+
-->
|
| 59 |
+
D[S6K1 Phosphorylation] D
|
| 60 |
+
-->
|
| 61 |
+
E[Ribosome Biogenesis] E
|
| 62 |
+
-->
|
| 63 |
+
F[Protein Synthesis] F
|
| 64 |
+
-->
|
| 65 |
+
G[Cell Growth]
|
| 66 |
+
H[Nutrient Stress]
|
| 67 |
+
-->
|
| 68 |
+
I[TORC1 Inhibition] I
|
| 69 |
+
-->
|
| 70 |
+
J[Autophagy Activation] J
|
| 71 |
+
-->
|
| 72 |
+
K[Nutrient Recycling] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style G fill:#b197fc,color:#fff style J fill:#ffd43b,color:#000 style K fill:#b197fc,color:#fff
|
| 73 |
+
</div> </div> </div> <!-- Process 4: Pheromone Response --> <div class="process-item" id="pheromone-response"> <h3>7. Pheromone Response</h3> <p>Detailed analysis of pheromone response using the Programming Framework, revealing computational logic for mating signal transduction.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 74 |
+
graph TD
|
| 75 |
+
|
| 76 |
+
A[Pheromone Detection]
|
| 77 |
+
-->
|
| 78 |
+
B[GPCR Activation] B
|
| 79 |
+
-->
|
| 80 |
+
C[G-protein Dissociation] C
|
| 81 |
+
-->
|
| 82 |
+
D[MAPK Cascade] D
|
| 83 |
+
-->
|
| 84 |
+
E[Fus3 Activation] E
|
| 85 |
+
-->
|
| 86 |
+
F[Cell Cycle Arrest] F
|
| 87 |
+
-->
|
| 88 |
+
G[Mating Gene Expression] G
|
| 89 |
+
-->
|
| 90 |
+
H[Shmoo Formation] H
|
| 91 |
+
-->
|
| 92 |
+
I[Cell Fusion] I
|
| 93 |
+
-->
|
| 94 |
+
J[Diploid Formation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff
|
| 95 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast signal transduction and cellular communication systems</p> <p><em>Batch 04 of 15: Signal Transduction</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch05_energy_metabolism.html
ADDED
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 05: Energy Metabolism</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 05</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 05: Energy Metabolism (11 processes)</h2> <p>Energy production and metabolic pathway systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 11 Energy Metabolism Processes</h2> <ul> <li><a href="#oxidative-phosphorylation">1. Oxidative Phosphorylation</a></li> <li><a href="#substrate-phosphorylation">2. Substrate Level Phosphorylation</a></li> <li><a href="#fermentation">3. Fermentation</a></li> <li><a href="#glycolysis">4. Glycolysis</a></li> <li><a href="#gluconeogenesis">5. Gluconeogenesis</a></li> <li><a href="#tca-cycle">6. TCA Cycle</a></li> <li><a href="#pentose-phosphate">7. Pentose Phosphate Pathway</a></li> <li><a href="#fatty-acid-oxidation">8. Fatty Acid Oxidation</a></li> <li><a href="#amino-acid-catabolism">9. Amino Acid Catabolism</a></li> <li><a href="#energy-storage">10. Energy Storage</a></li> <li><a href="#metabolic-regulation">11. Metabolic Regulation</a></li> </ul> </div> <!-- Process 1: Oxidative Phosphorylation --> <div class="process-item" id="oxidative-phosphorylation"> <h3>1. Oxidative Phosphorylation</h3> <p>Detailed analysis of Oxidative Phosphorylation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[NADH/FADH2 Production]
|
| 5 |
+
-->
|
| 6 |
+
B[Electron Transport Chain] B
|
| 7 |
+
-->
|
| 8 |
+
C[Complex I Activity] C
|
| 9 |
+
-->
|
| 10 |
+
D[Complex II Activity] D
|
| 11 |
+
-->
|
| 12 |
+
E[Complex III Activity] E
|
| 13 |
+
-->
|
| 14 |
+
F[Complex IV Activity] F
|
| 15 |
+
-->
|
| 16 |
+
G[Oxygen Reduction] G
|
| 17 |
+
-->
|
| 18 |
+
H[Proton Pumping] H
|
| 19 |
+
-->
|
| 20 |
+
I[Proton Gradient Formation] I
|
| 21 |
+
-->
|
| 22 |
+
J[ATP Synthase Activation] J
|
| 23 |
+
-->
|
| 24 |
+
K[ADP Phosphorylation] K
|
| 25 |
+
-->
|
| 26 |
+
L[ATP Production] L
|
| 27 |
+
-->
|
| 28 |
+
M[Energy Production Complete] A
|
| 29 |
+
-->
|
| 30 |
+
N[Uncoupling Protein] N
|
| 31 |
+
-->
|
| 32 |
+
O[Proton Leak] O
|
| 33 |
+
-->
|
| 34 |
+
P[Heat Production] L
|
| 35 |
+
-->
|
| 36 |
+
Q[ATP/ADP Ratio] Q
|
| 37 |
+
--> R{Energy Demand?} R
|
| 38 |
+
-->|High|
|
| 39 |
+
S[Increased Respiration] R
|
| 40 |
+
-->|Low|
|
| 41 |
+
T[Decreased Respiration] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style L fill:#b197fc,color:#fff style M fill:#b197fc,color:#fff
|
| 42 |
+
</div> </div> </div> <!-- Process 2: Fermentation --> <div class="process-item" id="fermentation"> <h3>3. Fermentation</h3> <p>Detailed analysis of Fermentation using the Programming Framework, revealing computational logic and regulatory patterns.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 43 |
+
graph TD
|
| 44 |
+
|
| 45 |
+
A[Pyruvate Accumulation]
|
| 46 |
+
--> B{Oxygen Availability?} B
|
| 47 |
+
-->|Low|
|
| 48 |
+
C[Anaerobic Conditions] B
|
| 49 |
+
-->|High|
|
| 50 |
+
D[Aerobic Respiration] C
|
| 51 |
+
-->
|
| 52 |
+
E[Pyruvate Decarboxylase] E
|
| 53 |
+
-->
|
| 54 |
+
F[Acetaldehyde Formation] F
|
| 55 |
+
-->
|
| 56 |
+
G[Alcohol Dehydrogenase] G
|
| 57 |
+
-->
|
| 58 |
+
H[Ethanol Production] H
|
| 59 |
+
-->
|
| 60 |
+
I[NAD+ Regeneration] I
|
| 61 |
+
-->
|
| 62 |
+
J[Fermentation Complete] C
|
| 63 |
+
-->
|
| 64 |
+
K[Lactate Dehydrogenase] K
|
| 65 |
+
-->
|
| 66 |
+
L[Lactate Production] L
|
| 67 |
+
-->
|
| 68 |
+
M[NAD+ Regeneration] M
|
| 69 |
+
--> J J
|
| 70 |
+
-->
|
| 71 |
+
N[Energy Status] N
|
| 72 |
+
--> O{Oxygen Available?} O
|
| 73 |
+
-->|Yes|
|
| 74 |
+
P[Respiration Switch] O
|
| 75 |
+
-->|No|
|
| 76 |
+
Q[Fermentation Continuation] style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff
|
| 77 |
+
</div> </div> </div> <!-- Process 3: Glycolysis --> <div class="process-item" id="glycolysis"> <h3>4. Glycolysis</h3> <p>Detailed analysis of Glycolysis using the Programming Framework, revealing computational logic for glucose metabolism.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 78 |
+
graph TD
|
| 79 |
+
|
| 80 |
+
A[Glucose]
|
| 81 |
+
-->
|
| 82 |
+
B[Hexokinase] B
|
| 83 |
+
-->
|
| 84 |
+
C[Glucose-6-Phosphate] C
|
| 85 |
+
-->
|
| 86 |
+
D[Phosphoglucose Isomerase] D
|
| 87 |
+
-->
|
| 88 |
+
E[Fructose-6-Phosphate] E
|
| 89 |
+
-->
|
| 90 |
+
F[Phosphofructokinase] F
|
| 91 |
+
-->
|
| 92 |
+
G[Fructose-1,6-Bisphosphate] G
|
| 93 |
+
-->
|
| 94 |
+
H[Aldolase] H
|
| 95 |
+
-->
|
| 96 |
+
I[DHAP + G3P] I
|
| 97 |
+
-->
|
| 98 |
+
J[Glyceraldehyde-3-P Dehydrogenase] J
|
| 99 |
+
-->
|
| 100 |
+
K[1,3-Bisphosphoglycerate] K
|
| 101 |
+
-->
|
| 102 |
+
L[Phosphoglycerate Kinase] L
|
| 103 |
+
-->
|
| 104 |
+
M[3-Phosphoglycerate] M
|
| 105 |
+
-->
|
| 106 |
+
N[Phosphoglycerate Mutase] N
|
| 107 |
+
-->
|
| 108 |
+
O[2-Phosphoglycerate] O
|
| 109 |
+
-->
|
| 110 |
+
P[Enolase] P
|
| 111 |
+
-->
|
| 112 |
+
Q[Phosphoenolpyruvate] Q
|
| 113 |
+
-->
|
| 114 |
+
R[Pyruvate Kinase] R
|
| 115 |
+
-->
|
| 116 |
+
S[Pyruvate] S
|
| 117 |
+
-->
|
| 118 |
+
T[ATP Production] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style R fill:#ffd43b,color:#000 style T fill:#b197fc,color:#fff
|
| 119 |
+
</div> </div> </div> <!-- Process 4: TCA Cycle --> <div class="process-item" id="tca-cycle"> <h3>6. TCA Cycle</h3> <p>Detailed analysis of TCA Cycle using the Programming Framework, revealing computational logic for complete glucose oxidation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 120 |
+
graph TD
|
| 121 |
+
|
| 122 |
+
A[Acetyl-CoA]
|
| 123 |
+
-->
|
| 124 |
+
B[Citrate Synthase] B
|
| 125 |
+
-->
|
| 126 |
+
C[Citrate] C
|
| 127 |
+
-->
|
| 128 |
+
D[Aconitase] D
|
| 129 |
+
-->
|
| 130 |
+
E[Isocitrate] E
|
| 131 |
+
-->
|
| 132 |
+
F[Isocitrate Dehydrogenase] F
|
| 133 |
+
-->
|
| 134 |
+
G[α-Ketoglutarate] G
|
| 135 |
+
-->
|
| 136 |
+
H[α-Ketoglutarate Dehydrogenase] H
|
| 137 |
+
-->
|
| 138 |
+
I[Succinyl-CoA] I
|
| 139 |
+
-->
|
| 140 |
+
J[Succinyl-CoA Synthetase] J
|
| 141 |
+
-->
|
| 142 |
+
K[Succinate] K
|
| 143 |
+
-->
|
| 144 |
+
L[Succinate Dehydrogenase] L
|
| 145 |
+
-->
|
| 146 |
+
M[Fumarate] M
|
| 147 |
+
-->
|
| 148 |
+
N[Fumarase] N
|
| 149 |
+
-->
|
| 150 |
+
O[Malate] O
|
| 151 |
+
-->
|
| 152 |
+
P[Malate Dehydrogenase] P
|
| 153 |
+
-->
|
| 154 |
+
Q[Oxaloacetate] Q
|
| 155 |
+
-->
|
| 156 |
+
R[Cycle Complete] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style R fill:#b197fc,color:#fff
|
| 157 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast energy metabolism and metabolic pathway systems</p> <p><em>Batch 05 of 15: Energy Metabolism</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch06_lipid_membrane_biology.html
ADDED
|
@@ -0,0 +1,108 @@
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 06: Lipid & Membrane Biology</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 06</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 06: Lipid & Membrane Biology (6 processes)</h2> <p>Membrane dynamics and lipid metabolism systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 6 Lipid & Membrane Processes</h2> <ul> <li><a href="#fatty-acid-synthesis">1. Fatty Acid Synthesis</a></li> <li><a href="#phospholipid-synthesis">2. Phospholipid Synthesis</a></li> <li><a href="#ergosterol-synthesis">3. Ergosterol Synthesis</a></li> <li><a href="#membrane-biogenesis">4. Membrane Biogenesis</a></li> <li><a href="#vesicle-trafficking">5. Vesicle Trafficking</a></li> <li><a href="#endocytosis">6. Endocytosis</a></li> </ul> </div> <!-- Process 1: Fatty Acid Synthesis --> <div class="process-item" id="fatty-acid-synthesis"> <h3>1. Fatty Acid Synthesis</h3> <p>Detailed analysis of fatty acid synthesis using the Programming Framework, revealing computational logic for lipid biosynthesis and membrane formation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Acetyl-CoA]
|
| 5 |
+
-->
|
| 6 |
+
B[Acetyl-CoA Carboxylase] B
|
| 7 |
+
-->
|
| 8 |
+
C[Malonyl-CoA] C
|
| 9 |
+
-->
|
| 10 |
+
D[Fatty Acid Synthase] D
|
| 11 |
+
-->
|
| 12 |
+
E[Condensation] E
|
| 13 |
+
-->
|
| 14 |
+
F[Reduction] F
|
| 15 |
+
-->
|
| 16 |
+
G[Dehydration] G
|
| 17 |
+
-->
|
| 18 |
+
H[Second Reduction] H
|
| 19 |
+
-->
|
| 20 |
+
I[Chain Elongation] I
|
| 21 |
+
--> J{Chain Length Complete?} J
|
| 22 |
+
-->|No|
|
| 23 |
+
K[Add Malonyl-CoA] K
|
| 24 |
+
--> E J
|
| 25 |
+
-->|Yes|
|
| 26 |
+
L[Fatty Acid Release] L
|
| 27 |
+
-->
|
| 28 |
+
M[Palmitic Acid] M
|
| 29 |
+
-->
|
| 30 |
+
N[Membrane Incorporation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style J fill:#74c0fc,color:#fff style M fill:#b197fc,color:#fff style N fill:#b197fc,color:#fff
|
| 31 |
+
</div> </div> </div> <!-- Process 2: Phospholipid Synthesis --> <div class="process-item" id="phospholipid-synthesis"> <h3>2. Phospholipid Synthesis</h3> <p>Detailed analysis of phospholipid synthesis using the Programming Framework, revealing computational logic for membrane lipid production.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 32 |
+
graph TD
|
| 33 |
+
|
| 34 |
+
A[Fatty Acyl-CoA]
|
| 35 |
+
-->
|
| 36 |
+
B[Glycerol-3-Phosphate] B
|
| 37 |
+
-->
|
| 38 |
+
C[Lysophosphatidic Acid] C
|
| 39 |
+
-->
|
| 40 |
+
D[Phosphatidic Acid] D
|
| 41 |
+
-->
|
| 42 |
+
E[CDP-Diacylglycerol] E
|
| 43 |
+
--> F{Phospholipid Type?} F
|
| 44 |
+
-->|PC|
|
| 45 |
+
G[Phosphatidylcholine] F
|
| 46 |
+
-->|PE|
|
| 47 |
+
H[Phosphatidylethanolamine] F
|
| 48 |
+
-->|PS|
|
| 49 |
+
I[Phosphatidylserine] F
|
| 50 |
+
-->|PI|
|
| 51 |
+
J[Phosphatidylinositol] G
|
| 52 |
+
-->
|
| 53 |
+
K[Membrane Integration] H
|
| 54 |
+
--> K I
|
| 55 |
+
--> K J
|
| 56 |
+
--> K style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff
|
| 57 |
+
</div> </div> </div> <!-- Process 3: Ergosterol Synthesis --> <div class="process-item" id="ergosterol-synthesis"> <h3>3. Ergosterol Synthesis</h3> <p>Detailed analysis of ergosterol synthesis using the Programming Framework, revealing computational logic for sterol metabolism and membrane fluidity control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 58 |
+
graph TD
|
| 59 |
+
|
| 60 |
+
A[Acetyl-CoA]
|
| 61 |
+
-->
|
| 62 |
+
B[HMG-CoA Reductase] B
|
| 63 |
+
-->
|
| 64 |
+
C[Mevalonate] C
|
| 65 |
+
-->
|
| 66 |
+
D[Isopentenyl-PP] D
|
| 67 |
+
-->
|
| 68 |
+
E[Farnesyl-PP] E
|
| 69 |
+
-->
|
| 70 |
+
F[Squalene] F
|
| 71 |
+
-->
|
| 72 |
+
G[Lanosterol] G
|
| 73 |
+
-->
|
| 74 |
+
H[Ergosterol Biosynthesis] H
|
| 75 |
+
-->
|
| 76 |
+
I[Ergosterol] I
|
| 77 |
+
-->
|
| 78 |
+
J[Membrane Incorporation] J
|
| 79 |
+
-->
|
| 80 |
+
K[Membrane Fluidity Control] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff
|
| 81 |
+
</div> </div> </div> <!-- Process 4: Vesicle Trafficking --> <div class="process-item" id="vesicle-trafficking"> <h3>5. Vesicle Trafficking</h3> <p>Detailed analysis of vesicle trafficking using the Programming Framework, revealing computational logic for intracellular transport and protein sorting.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 82 |
+
graph TD
|
| 83 |
+
|
| 84 |
+
A[Cargo Recognition]
|
| 85 |
+
-->
|
| 86 |
+
B[Vesicle Formation] B
|
| 87 |
+
-->
|
| 88 |
+
C[COPII Coating] C
|
| 89 |
+
-->
|
| 90 |
+
D[ER Exit] D
|
| 91 |
+
-->
|
| 92 |
+
E[Golgi Transport] E
|
| 93 |
+
-->
|
| 94 |
+
F[Vesicle Fusion] F
|
| 95 |
+
-->
|
| 96 |
+
G[SNARE Complex] G
|
| 97 |
+
-->
|
| 98 |
+
H[Membrane Fusion] H
|
| 99 |
+
-->
|
| 100 |
+
I[Cargo Delivery]
|
| 101 |
+
J[Retrograde Transport]
|
| 102 |
+
-->
|
| 103 |
+
K[COPI Coating] K
|
| 104 |
+
-->
|
| 105 |
+
L[Golgi to ER] L
|
| 106 |
+
-->
|
| 107 |
+
M[Recycling] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style I fill:#b197fc,color:#fff
|
| 108 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast lipid metabolism and membrane dynamics systems</p> <p><em>Batch 06 of 15: Lipid & Membrane Biology</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch07_cell_wall_extracellular.html
ADDED
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@@ -0,0 +1,59 @@
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 07: Cell Wall & Extracellular Matrix</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 07</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 07: Cell Wall & Extracellular Matrix (4 processes)</h2> <p>Cell wall biosynthesis and structural maintenance systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 4 Cell Wall Processes</h2> <ul> <li><a href="#cell-wall-synthesis">1. Cell Wall Synthesis</a></li> <li><a href="#chitin-synthesis">2. Chitin Synthesis</a></li> <li><a href="#glucan-synthesis">3. Glucan Synthesis</a></li> <li><a href="#mannoprotein-synthesis">4. Mannoprotein Synthesis</a></li> </ul> </div> <!-- Process 1: Cell Wall Synthesis --> <div class="process-item" id="cell-wall-synthesis"> <h3>1. Cell Wall Synthesis</h3> <p>Detailed analysis of Cell Wall Synthesis using the Programming Framework, revealing computational logic for structural assembly and cell integrity.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[UDP-Glucose]
|
| 5 |
+
-->
|
| 6 |
+
B[Cellulose Synthase] B
|
| 7 |
+
-->
|
| 8 |
+
C[β-1,3-Glucan] C
|
| 9 |
+
-->
|
| 10 |
+
D[Cell Wall Assembly] D
|
| 11 |
+
-->
|
| 12 |
+
E[Structural Integrity]
|
| 13 |
+
F[Chitin Precursors]
|
| 14 |
+
-->
|
| 15 |
+
G[Chitin Synthase] G
|
| 16 |
+
-->
|
| 17 |
+
H[Chitin Fibers] H
|
| 18 |
+
-->
|
| 19 |
+
I[Cell Wall Reinforcement]
|
| 20 |
+
J[Mannoproteins]
|
| 21 |
+
-->
|
| 22 |
+
K[Protein Glycosylation] K
|
| 23 |
+
-->
|
| 24 |
+
L[Cell Wall Proteins] L
|
| 25 |
+
-->
|
| 26 |
+
M[Surface Properties] E
|
| 27 |
+
-->
|
| 28 |
+
N[Cell Wall Complete] I
|
| 29 |
+
--> N M
|
| 30 |
+
--> N style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style K fill:#ffd43b,color:#000 style N fill:#b197fc,color:#fff
|
| 31 |
+
</div> </div> </div> <!-- Process 2: Chitin Synthesis --> <div class="process-item" id="chitin-synthesis"> <h3>2. Chitin Synthesis</h3> <p>Detailed analysis of Chitin Synthesis using the Programming Framework, revealing computational logic for structural polymer formation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 32 |
+
graph TD
|
| 33 |
+
|
| 34 |
+
A[UDP-N-Acetylglucosamine]
|
| 35 |
+
-->
|
| 36 |
+
B[Chitin Synthase I] B
|
| 37 |
+
-->
|
| 38 |
+
C[Chitin Chain] C
|
| 39 |
+
-->
|
| 40 |
+
D[Septum Formation]
|
| 41 |
+
E[Cell Division Signal]
|
| 42 |
+
-->
|
| 43 |
+
F[Chitin Synthase II] F
|
| 44 |
+
-->
|
| 45 |
+
G[Lateral Wall Chitin] G
|
| 46 |
+
-->
|
| 47 |
+
H[Wall Strengthening]
|
| 48 |
+
I[Stress Response]
|
| 49 |
+
-->
|
| 50 |
+
J[Chitin Synthase III] J
|
| 51 |
+
-->
|
| 52 |
+
K[Remedial Chitin] K
|
| 53 |
+
-->
|
| 54 |
+
L[Wall Repair] D
|
| 55 |
+
-->
|
| 56 |
+
M[Structural Support] H
|
| 57 |
+
--> M L
|
| 58 |
+
--> M style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style M fill:#b197fc,color:#fff
|
| 59 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast cell wall synthesis and structural maintenance systems</p> <p><em>Batch 07 of 15: Cell Wall & Extracellular Matrix</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch08_chromatin_transcription.html
ADDED
|
@@ -0,0 +1,79 @@
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|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 08: Chromatin & Transcription</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 08</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 08: Chromatin & Transcription (7 processes)</h2> <p>Gene expression and chromatin regulation systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 7 Chromatin & Transcription Processes</h2> <ul> <li><a href="#transcription-initiation">1. Transcription Initiation</a></li> <li><a href="#chromatin-remodeling">2. Chromatin Remodeling</a></li> <li><a href="#histone-modification">3. Histone Modification</a></li> <li><a href="#transcription-elongation">4. Transcription Elongation</a></li> <li><a href="#transcription-termination">5. Transcription Termination</a></li> <li><a href="#gene-silencing">6. Gene Silencing</a></li> <li><a href="#epigenetic-regulation">7. Epigenetic Regulation</a></li> </ul> </div> <!-- Process 1: Transcription Initiation --> <div class="process-item" id="transcription-initiation"> <h3>1. Transcription Initiation</h3> <p>Detailed analysis of Transcription Initiation using the Programming Framework, revealing computational logic for gene expression control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Promoter Recognition]
|
| 5 |
+
-->
|
| 6 |
+
B[TFIID Binding] B
|
| 7 |
+
-->
|
| 8 |
+
C[TFIIA Recruitment] C
|
| 9 |
+
-->
|
| 10 |
+
D[TFIIB Assembly] D
|
| 11 |
+
-->
|
| 12 |
+
E[RNA Polymerase II] E
|
| 13 |
+
-->
|
| 14 |
+
F[TFIIF Escort] F
|
| 15 |
+
-->
|
| 16 |
+
G[TFIIE/TFIIH Recruitment] G
|
| 17 |
+
-->
|
| 18 |
+
H[Promoter Melting] H
|
| 19 |
+
-->
|
| 20 |
+
I[Transcription Start] I
|
| 21 |
+
-->
|
| 22 |
+
J[Promoter Clearance] J
|
| 23 |
+
-->
|
| 24 |
+
K[mRNA Synthesis] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff
|
| 25 |
+
</div> </div> </div> <!-- Process 2: Chromatin Remodeling --> <div class="process-item" id="chromatin-remodeling"> <h3>2. Chromatin Remodeling</h3> <p>Detailed analysis of Chromatin Remodeling using the Programming Framework, revealing computational logic for DNA accessibility control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 26 |
+
graph TD
|
| 27 |
+
|
| 28 |
+
A[Chromatin Signal]
|
| 29 |
+
-->
|
| 30 |
+
B[SWI/SNF Complex] B
|
| 31 |
+
-->
|
| 32 |
+
C[ATP Hydrolysis] C
|
| 33 |
+
-->
|
| 34 |
+
D[Nucleosome Sliding] D
|
| 35 |
+
-->
|
| 36 |
+
E[DNA Accessibility] E
|
| 37 |
+
-->
|
| 38 |
+
F[Transcription Factor Binding] F
|
| 39 |
+
-->
|
| 40 |
+
G[Gene Activation]
|
| 41 |
+
H[Repressive Signal]
|
| 42 |
+
-->
|
| 43 |
+
I[ISWI Complex] I
|
| 44 |
+
-->
|
| 45 |
+
J[Nucleosome Assembly] J
|
| 46 |
+
-->
|
| 47 |
+
K[Chromatin Compaction] K
|
| 48 |
+
-->
|
| 49 |
+
L[Gene Silencing] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style G fill:#b197fc,color:#fff style L fill:#b197fc,color:#fff
|
| 50 |
+
</div> </div> </div> <!-- Process 3: Histone Modification --> <div class="process-item" id="histone-modification"> <h3>3. Histone Modification</h3> <p>Detailed analysis of Histone Modification using the Programming Framework, revealing computational logic for epigenetic regulation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 51 |
+
graph TD
|
| 52 |
+
|
| 53 |
+
A[Regulatory Signal]
|
| 54 |
+
--> B{Modification Type?} B
|
| 55 |
+
-->|Acetylation|
|
| 56 |
+
C[HAT Complex] B
|
| 57 |
+
-->|Methylation|
|
| 58 |
+
D[HMT Complex] B
|
| 59 |
+
-->|Phosphorylation|
|
| 60 |
+
E[Histone Kinase] C
|
| 61 |
+
-->
|
| 62 |
+
F[Histone Acetylation] D
|
| 63 |
+
-->
|
| 64 |
+
G[Histone Methylation] E
|
| 65 |
+
-->
|
| 66 |
+
H[Histone Phosphorylation] F
|
| 67 |
+
-->
|
| 68 |
+
I[Chromatin Opening] G
|
| 69 |
+
-->
|
| 70 |
+
J[Gene Expression Regulation] H
|
| 71 |
+
-->
|
| 72 |
+
K[Cell Cycle Regulation] I
|
| 73 |
+
-->
|
| 74 |
+
L[Transcriptional Activation] J
|
| 75 |
+
-->
|
| 76 |
+
M[Epigenetic Memory] K
|
| 77 |
+
-->
|
| 78 |
+
N[Chromosome Condensation] style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style L fill:#b197fc,color:#fff style M fill:#b197fc,color:#fff style N fill:#b197fc,color:#fff
|
| 79 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast chromatin regulation and transcription systems</p> <p><em>Batch 08 of 15: Chromatin & Transcription</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch09_rna_processing_transport.html
ADDED
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@@ -0,0 +1,77 @@
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|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 09: RNA Processing & Transport</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 09</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 09: RNA Processing & Transport (4 processes)</h2> <p>RNA maturation and nucleocytoplasmic transport systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 4 RNA Processing Processes</h2> <ul> <li><a href="#rna-splicing">1. RNA Splicing</a></li> <li><a href="#rna-capping">2. RNA Capping</a></li> <li><a href="#polya-addition">3. Poly(A) Addition</a></li> <li><a href="#mrna-export">4. mRNA Export</a></li> </ul> </div> <!-- Process 1: RNA Splicing --> <div class="process-item" id="rna-splicing"> <h3>1. RNA Splicing</h3> <p>Detailed analysis of RNA Splicing using the Programming Framework, revealing computational logic for intron removal and exon joining.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Pre-mRNA]
|
| 5 |
+
-->
|
| 6 |
+
B[5' Splice Site Recognition] B
|
| 7 |
+
-->
|
| 8 |
+
C[U1 snRNP Binding] C
|
| 9 |
+
-->
|
| 10 |
+
D[Branch Point Recognition] D
|
| 11 |
+
-->
|
| 12 |
+
E[U2 snRNP Assembly] E
|
| 13 |
+
-->
|
| 14 |
+
F[3' Splice Site Recognition] F
|
| 15 |
+
-->
|
| 16 |
+
G[U4/U6•U5 tri-snRNP] G
|
| 17 |
+
-->
|
| 18 |
+
H[Spliceosome Assembly] H
|
| 19 |
+
-->
|
| 20 |
+
I[First Transesterification] I
|
| 21 |
+
-->
|
| 22 |
+
J[Lariat Formation] J
|
| 23 |
+
-->
|
| 24 |
+
K[Second Transesterification] K
|
| 25 |
+
-->
|
| 26 |
+
L[Exon Ligation] L
|
| 27 |
+
-->
|
| 28 |
+
M[Intron Release] M
|
| 29 |
+
-->
|
| 30 |
+
N[Mature mRNA] style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style H fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style K fill:#74c0fc,color:#fff style N fill:#b197fc,color:#fff
|
| 31 |
+
</div> </div> </div> <!-- Process 2: RNA Capping --> <div class="process-item" id="rna-capping"> <h3>2. RNA Capping</h3> <p>Detailed analysis of RNA Capping using the Programming Framework, revealing computational logic for mRNA 5' end modification.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 32 |
+
graph TD
|
| 33 |
+
|
| 34 |
+
A[Nascent mRNA]
|
| 35 |
+
-->
|
| 36 |
+
B[Phosphatase Activity] B
|
| 37 |
+
-->
|
| 38 |
+
C[5'-Triphosphate Removal] C
|
| 39 |
+
-->
|
| 40 |
+
D[Capping Enzyme] D
|
| 41 |
+
-->
|
| 42 |
+
E[GMP Addition] E
|
| 43 |
+
-->
|
| 44 |
+
F[Methyltransferase] F
|
| 45 |
+
-->
|
| 46 |
+
G[N7-Methylguanosine] G
|
| 47 |
+
-->
|
| 48 |
+
H[2'-O-Methyltransferase] H
|
| 49 |
+
-->
|
| 50 |
+
I[Cap 1 Structure] I
|
| 51 |
+
-->
|
| 52 |
+
J[Cap-Binding Complex] J
|
| 53 |
+
-->
|
| 54 |
+
K[mRNA Stability] K
|
| 55 |
+
-->
|
| 56 |
+
L[Translation Enhancement] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style L fill:#b197fc,color:#fff
|
| 57 |
+
</div> </div> </div> <!-- Process 3: mRNA Export --> <div class="process-item" id="mrna-export"> <h3>4. mRNA Export</h3> <p>Detailed analysis of mRNA Export using the Programming Framework, revealing computational logic for nucleocytoplasmic transport.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 58 |
+
graph TD
|
| 59 |
+
|
| 60 |
+
A[Mature mRNA]
|
| 61 |
+
-->
|
| 62 |
+
B[mRNA-Protein Complex] B
|
| 63 |
+
-->
|
| 64 |
+
C[Nuclear Export Signal] C
|
| 65 |
+
-->
|
| 66 |
+
D[Exportin Recognition] D
|
| 67 |
+
-->
|
| 68 |
+
E[Nuclear Pore Complex] E
|
| 69 |
+
-->
|
| 70 |
+
F[Translocation] F
|
| 71 |
+
-->
|
| 72 |
+
G[Cytoplasmic Release] G
|
| 73 |
+
-->
|
| 74 |
+
H[mRNA Localization] H
|
| 75 |
+
-->
|
| 76 |
+
I[Translation Initiation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff
|
| 77 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast RNA processing and transport systems</p> <p><em>Batch 09 of 15: RNA Processing & Transport</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch10_stress_response_adaptation.html
ADDED
|
@@ -0,0 +1,75 @@
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|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 10: Stress Response & Adaptation</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 10</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 10: Stress Response & Adaptation (4 processes)</h2> <p>Environmental stress sensing and adaptive response systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 4 Stress Response Processes</h2> <ul> <li><a href="#heat-shock">1. Heat Shock Response</a></li> <li><a href="#osmotic-stress">2. Osmotic Stress Response</a></li> <li><a href="#oxidative-stress">3. Oxidative Stress Response</a></li> <li><a href="#general-stress">4. General Stress Response</a></li> </ul> </div> <!-- Process 1: Heat Shock Response --> <div class="process-item" id="heat-shock"> <h3>1. Heat Shock Response</h3> <p>Detailed analysis of Heat Shock Response using the Programming Framework, revealing computational logic for temperature stress adaptation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Temperature Stress]
|
| 5 |
+
-->
|
| 6 |
+
B[Protein Misfolding] B
|
| 7 |
+
-->
|
| 8 |
+
C[HSF1 Activation] C
|
| 9 |
+
-->
|
| 10 |
+
D[Heat Shock Element Binding] D
|
| 11 |
+
-->
|
| 12 |
+
E[HSP Gene Expression] E
|
| 13 |
+
-->
|
| 14 |
+
F[Heat Shock Proteins] F
|
| 15 |
+
-->
|
| 16 |
+
G[Protein Refolding] G
|
| 17 |
+
-->
|
| 18 |
+
H[Cellular Protection] H
|
| 19 |
+
-->
|
| 20 |
+
I[Stress Adaptation]
|
| 21 |
+
J[Severe Stress]
|
| 22 |
+
-->
|
| 23 |
+
K[Protein Aggregation] K
|
| 24 |
+
-->
|
| 25 |
+
L[Autophagy Activation] L
|
| 26 |
+
-->
|
| 27 |
+
M[Aggregate Clearance] M
|
| 28 |
+
-->
|
| 29 |
+
N[Cell Survival] style A fill:#ff6b6b,color:#fff style B fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style N fill:#b197fc,color:#fff
|
| 30 |
+
</div> </div> </div> <!-- Process 2: Osmotic Stress Response --> <div class="process-item" id="osmotic-stress"> <h3>2. Osmotic Stress Response</h3> <p>Detailed analysis of Osmotic Stress Response using the Programming Framework, revealing computational logic for water balance regulation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 31 |
+
graph TD
|
| 32 |
+
|
| 33 |
+
A[Osmotic Stress]
|
| 34 |
+
-->
|
| 35 |
+
B[Cell Wall Stress] B
|
| 36 |
+
-->
|
| 37 |
+
C[Sln1 Sensor] C
|
| 38 |
+
-->
|
| 39 |
+
D[HOG Pathway] D
|
| 40 |
+
-->
|
| 41 |
+
E[Hog1 MAPK] E
|
| 42 |
+
-->
|
| 43 |
+
F[Transcription Factor Activation] F
|
| 44 |
+
-->
|
| 45 |
+
G[Osmoprotectant Synthesis] G
|
| 46 |
+
-->
|
| 47 |
+
H[Glycerol Accumulation] H
|
| 48 |
+
-->
|
| 49 |
+
I[Osmotic Balance] I
|
| 50 |
+
-->
|
| 51 |
+
J[Cell Volume Recovery] style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff
|
| 52 |
+
</div> </div> </div> <!-- Process 3: Oxidative Stress Response --> <div class="process-item" id="oxidative-stress"> <h3>3. Oxidative Stress Response</h3> <p>Detailed analysis of Oxidative Stress Response using the Programming Framework, revealing computational logic for ROS detoxification.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 53 |
+
graph TD
|
| 54 |
+
|
| 55 |
+
A[Reactive Oxygen Species]
|
| 56 |
+
-->
|
| 57 |
+
B[Oxidative Damage] B
|
| 58 |
+
-->
|
| 59 |
+
C[Yap1 Activation] C
|
| 60 |
+
-->
|
| 61 |
+
D[Nuclear Translocation] D
|
| 62 |
+
-->
|
| 63 |
+
E[Antioxidant Gene Expression] E
|
| 64 |
+
-->
|
| 65 |
+
F[Catalase/SOD Production] F
|
| 66 |
+
-->
|
| 67 |
+
G[ROS Detoxification] G
|
| 68 |
+
-->
|
| 69 |
+
H[Cellular Protection]
|
| 70 |
+
I[DNA Damage]
|
| 71 |
+
-->
|
| 72 |
+
J[Repair Mechanisms] J
|
| 73 |
+
-->
|
| 74 |
+
K[Genomic Stability] style A fill:#ff6b6b,color:#fff style B fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff
|
| 75 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast stress response and environmental adaptation systems</p> <p><em>Batch 10 of 15: Stress Response & Adaptation</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch11_advanced_metabolic_pathways.html
ADDED
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@@ -0,0 +1,79 @@
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|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 11: Advanced Metabolic Pathways</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 11</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 11: Advanced Metabolic Pathways (8 processes)</h2> <p>Specialized biosynthetic and catabolic pathways</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Advanced Metabolic Processes</h2> <ul> <li><a href="#amino-acid-biosynthesis">1. Amino Acid Biosynthesis</a></li> <li><a href="#nucleotide-synthesis">2. Nucleotide Synthesis</a></li> <li><a href="#vitamin-cofactor">3. Vitamin/Cofactor Synthesis</a></li> <li><a href="#secondary-metabolism">4. Secondary Metabolism</a></li> <li><a href="#polyamine-synthesis">5. Polyamine Synthesis</a></li> <li><a href="#sulfur-metabolism">6. Sulfur Metabolism</a></li> <li><a href="#one-carbon-metabolism">7. One-Carbon Metabolism</a></li> <li><a href="#glyoxylate-cycle">8. Glyoxylate Cycle</a></li> </ul> </div> <!-- Process 1: Amino Acid Biosynthesis --> <div class="process-item" id="amino-acid-biosynthesis"> <h3>1. Amino Acid Biosynthesis</h3> <p>Detailed analysis of Amino Acid Biosynthesis using the Programming Framework, revealing computational logic for protein building block production.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Carbon Skeletons]
|
| 5 |
+
--> B{Amino Acid Family?} B
|
| 6 |
+
-->|Aromatic|
|
| 7 |
+
C[Shikimate Pathway] B
|
| 8 |
+
-->|Branched|
|
| 9 |
+
D[Pyruvate Family] B
|
| 10 |
+
-->|Aspartate|
|
| 11 |
+
E[Aspartate Family] B
|
| 12 |
+
-->|Glutamate|
|
| 13 |
+
F[Glutamate Family] C
|
| 14 |
+
-->
|
| 15 |
+
G[Phenylalanine/Tyrosine/Tryptophan] D
|
| 16 |
+
-->
|
| 17 |
+
H[Valine/Leucine/Isoleucine] E
|
| 18 |
+
-->
|
| 19 |
+
I[Lysine/Threonine/Methionine] F
|
| 20 |
+
-->
|
| 21 |
+
J[Proline/Arginine/Glutamine] G
|
| 22 |
+
-->
|
| 23 |
+
K[Protein Synthesis] H
|
| 24 |
+
--> K I
|
| 25 |
+
--> K J
|
| 26 |
+
--> K style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style K fill:#b197fc,color:#fff
|
| 27 |
+
</div> </div> </div> <!-- Process 2: Nucleotide Synthesis --> <div class="process-item" id="nucleotide-synthesis"> <h3>2. Nucleotide Synthesis</h3> <p>Detailed analysis of Nucleotide Synthesis using the Programming Framework, revealing computational logic for DNA/RNA precursor production.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 28 |
+
graph TD
|
| 29 |
+
|
| 30 |
+
A[Ribose-5-Phosphate]
|
| 31 |
+
--> B{Nucleotide Type?} B
|
| 32 |
+
-->|Purine|
|
| 33 |
+
C[IMP Synthesis] B
|
| 34 |
+
-->|Pyrimidine|
|
| 35 |
+
D[UMP Synthesis] C
|
| 36 |
+
-->
|
| 37 |
+
E[AMP/GMP Formation] D
|
| 38 |
+
-->
|
| 39 |
+
F[CMP/TMP Formation] E
|
| 40 |
+
-->
|
| 41 |
+
G[Ribonucleoside Diphosphates] F
|
| 42 |
+
--> G G
|
| 43 |
+
-->
|
| 44 |
+
H[Ribonucleoside Triphosphates] H
|
| 45 |
+
-->
|
| 46 |
+
I[RNA Synthesis] G
|
| 47 |
+
-->
|
| 48 |
+
J[Ribonucleotide Reductase] J
|
| 49 |
+
-->
|
| 50 |
+
K[Deoxyribonucleoside Diphosphates] K
|
| 51 |
+
-->
|
| 52 |
+
L[Deoxyribonucleoside Triphosphates] L
|
| 53 |
+
-->
|
| 54 |
+
M[DNA Synthesis] style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style M fill:#b197fc,color:#fff
|
| 55 |
+
</div> </div> </div> <!-- Process 3: One-Carbon Metabolism --> <div class="process-item" id="one-carbon-metabolism"> <h3>7. One-Carbon Metabolism</h3> <p>Detailed analysis of One-Carbon Metabolism using the Programming Framework, revealing computational logic for methylation and biosynthesis.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 56 |
+
graph TD
|
| 57 |
+
|
| 58 |
+
A[Serine]
|
| 59 |
+
-->
|
| 60 |
+
B[Serine Hydroxymethyltransferase] B
|
| 61 |
+
-->
|
| 62 |
+
C[Glycine + N5,N10-methylene-THF] C
|
| 63 |
+
-->
|
| 64 |
+
D[N5-methyl-THF] D
|
| 65 |
+
-->
|
| 66 |
+
E[Methionine Synthase] E
|
| 67 |
+
-->
|
| 68 |
+
F[Methionine] F
|
| 69 |
+
-->
|
| 70 |
+
G[S-Adenosylmethionine] G
|
| 71 |
+
-->
|
| 72 |
+
H[Methylation Reactions] H
|
| 73 |
+
-->
|
| 74 |
+
I[S-Adenosylhomocysteine] I
|
| 75 |
+
-->
|
| 76 |
+
J[Homocysteine] J
|
| 77 |
+
-->
|
| 78 |
+
K[Methionine Regeneration] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff
|
| 79 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast advanced metabolic and biosynthetic pathway systems</p> <p><em>Batch 11 of 15: Advanced Metabolic Pathways</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch12_advanced_regulatory_networks.html
ADDED
|
@@ -0,0 +1,78 @@
|
|
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|
|
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|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 12: Advanced Regulatory Networks</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 12</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 12: Advanced Regulatory Networks (7 processes)</h2> <p>Complex regulatory circuits and network control systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 7 Advanced Regulatory Processes</h2> <ul> <li><a href="#circadian-regulation">1. Circadian Regulation</a></li> <li><a href="#metabolic-oscillations">2. Metabolic Oscillations</a></li> <li><a href="#feedback-loops">3. Feedback Loops</a></li> <li><a href="#feedforward-circuits">4. Feedforward Circuits</a></li> <li><a href="#bistable-switches">5. Bistable Switches</a></li> <li><a href="#noise-filtering">6. Noise Filtering</a></li> <li><a href="#adaptive-networks">7. Adaptive Networks</a></li> </ul> </div> <!-- Process 1: Circadian Regulation --> <div class="process-item" id="circadian-regulation"> <h3>1. Circadian Regulation</h3> <p>Detailed analysis of Circadian Regulation using the Programming Framework, revealing computational logic for biological timing control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Light Input]
|
| 5 |
+
-->
|
| 6 |
+
B[Clock Gene Expression] B
|
| 7 |
+
-->
|
| 8 |
+
C[Clock Protein Synthesis] C
|
| 9 |
+
-->
|
| 10 |
+
D[Protein Complex Formation] D
|
| 11 |
+
-->
|
| 12 |
+
E[Nuclear Translocation] E
|
| 13 |
+
-->
|
| 14 |
+
F[Transcriptional Repression] F
|
| 15 |
+
-->
|
| 16 |
+
G[Clock Gene Inhibition] G
|
| 17 |
+
-->
|
| 18 |
+
H[Protein Degradation] H
|
| 19 |
+
-->
|
| 20 |
+
I[Repression Release] I
|
| 21 |
+
-->
|
| 22 |
+
J[Cycle Reset] J
|
| 23 |
+
--> B
|
| 24 |
+
K[Environmental Cues]
|
| 25 |
+
-->
|
| 26 |
+
L[Phase Adjustment] L
|
| 27 |
+
-->
|
| 28 |
+
M[Clock Synchronization] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style J fill:#74c0fc,color:#fff style M fill:#b197fc,color:#fff
|
| 29 |
+
</div> </div> </div> <!-- Process 2: Metabolic Oscillations --> <div class="process-item" id="metabolic-oscillations"> <h3>2. Metabolic Oscillations</h3> <p>Detailed analysis of Metabolic Oscillations using the Programming Framework, revealing computational logic for rhythmic metabolism.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 30 |
+
graph TD
|
| 31 |
+
|
| 32 |
+
A[Glucose Pulse]
|
| 33 |
+
-->
|
| 34 |
+
B[Glycolytic Flux] B
|
| 35 |
+
-->
|
| 36 |
+
C[ATP Production] C
|
| 37 |
+
-->
|
| 38 |
+
D[Phosphofructokinase Inhibition] D
|
| 39 |
+
-->
|
| 40 |
+
E[Glycolytic Slowdown] E
|
| 41 |
+
-->
|
| 42 |
+
F[ATP Depletion] F
|
| 43 |
+
-->
|
| 44 |
+
G[PFK Activation] G
|
| 45 |
+
-->
|
| 46 |
+
H[Glycolytic Restart] H
|
| 47 |
+
--> B
|
| 48 |
+
I[NADH Oscillations]
|
| 49 |
+
-->
|
| 50 |
+
J[Respiratory Chain] J
|
| 51 |
+
-->
|
| 52 |
+
K[Oxygen Consumption] K
|
| 53 |
+
-->
|
| 54 |
+
L[Metabolic Cycling] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style L fill:#b197fc,color:#fff
|
| 55 |
+
</div> </div> </div> <!-- Process 3: Bistable Switches --> <div class="process-item" id="bistable-switches"> <h3>5. Bistable Switches</h3> <p>Detailed analysis of Bistable Switches using the Programming Framework, revealing computational logic for cellular decision-making.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 56 |
+
graph TD
|
| 57 |
+
|
| 58 |
+
A[Input Signal]
|
| 59 |
+
--> B{Signal Threshold?} B
|
| 60 |
+
-->|Low|
|
| 61 |
+
C[State A Maintenance] B
|
| 62 |
+
-->|High|
|
| 63 |
+
D[Switch Trigger] D
|
| 64 |
+
-->
|
| 65 |
+
E[Positive Feedback] E
|
| 66 |
+
-->
|
| 67 |
+
F[State B Activation] F
|
| 68 |
+
-->
|
| 69 |
+
G[State B Maintenance] G
|
| 70 |
+
--> H{Counter Signal?} H
|
| 71 |
+
-->|Yes|
|
| 72 |
+
I[Switch Reset] H
|
| 73 |
+
-->|No|
|
| 74 |
+
J[State B Stability] I
|
| 75 |
+
-->
|
| 76 |
+
K[State A Recovery] K
|
| 77 |
+
--> C style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style E fill:#ffd43b,color:#000 style H fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff
|
| 78 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast advanced regulatory networks and control systems</p> <p><em>Batch 12 of 15: Advanced Regulatory Networks</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch13_environmental_adaptation.html
ADDED
|
@@ -0,0 +1,82 @@
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|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 13: Environmental Adaptation</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 13</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 13: Environmental Adaptation (8 processes)</h2> <p>Environmental sensing and long-term adaptive responses</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Environmental Adaptation Processes</h2> <ul> <li><a href="#pH-homeostasis">1. pH Homeostasis</a></li> <li><a href="#metal-ion-homeostasis">2. Metal Ion Homeostasis</a></li> <li><a href="#nutrient-limitation">3. Nutrient Limitation Response</a></li> <li><a href="#temperature-adaptation">4. Temperature Adaptation</a></li> <li><a href="#oxygen-sensing">5. Oxygen Sensing</a></li> <li><a href="#carbon-source-adaptation">6. Carbon Source Adaptation</a></li> <li><a href="#nitrogen-sensing">7. Nitrogen Sensing</a></li> <li><a href="#phosphate-sensing">8. Phosphate Sensing</a></li> </ul> </div> <!-- Process 1: pH Homeostasis --> <div class="process-item" id="pH-homeostasis"> <h3>1. pH Homeostasis</h3> <p>Detailed analysis of pH Homeostasis using the Programming Framework, revealing computational logic for cellular pH regulation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[pH Stress]
|
| 5 |
+
-->
|
| 6 |
+
B[Plasma Membrane H+-ATPase] B
|
| 7 |
+
-->
|
| 8 |
+
C[Proton Extrusion] C
|
| 9 |
+
-->
|
| 10 |
+
D[Cytoplasmic pH Regulation]
|
| 11 |
+
E[Vacuolar pH]
|
| 12 |
+
-->
|
| 13 |
+
F[V-ATPase] F
|
| 14 |
+
-->
|
| 15 |
+
G[Vacuolar Acidification] G
|
| 16 |
+
-->
|
| 17 |
+
H[Ion Compartmentalization]
|
| 18 |
+
I[Alkaline Stress]
|
| 19 |
+
-->
|
| 20 |
+
J[Potassium Uptake] J
|
| 21 |
+
-->
|
| 22 |
+
K[Cation Exchange] K
|
| 23 |
+
-->
|
| 24 |
+
L[pH Buffering] D
|
| 25 |
+
-->
|
| 26 |
+
M[pH Homeostasis] H
|
| 27 |
+
--> M L
|
| 28 |
+
--> M style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style J fill:#ffd43b,color:#000 style M fill:#b197fc,color:#fff
|
| 29 |
+
</div> </div> </div> <!-- Process 2: Metal Ion Homeostasis --> <div class="process-item" id="metal-ion-homeostasis"> <h3>2. Metal Ion Homeostasis</h3> <p>Detailed analysis of Metal Ion Homeostasis using the Programming Framework, revealing computational logic for essential metal regulation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 30 |
+
graph TD
|
| 31 |
+
|
| 32 |
+
A[Metal Ion Excess]
|
| 33 |
+
-->
|
| 34 |
+
B[Metallothionein Expression] B
|
| 35 |
+
-->
|
| 36 |
+
C[Metal Sequestration] C
|
| 37 |
+
-->
|
| 38 |
+
D[Cytoplasmic Protection]
|
| 39 |
+
E[Metal Ion Deficiency]
|
| 40 |
+
-->
|
| 41 |
+
F[High-Affinity Transporters] F
|
| 42 |
+
-->
|
| 43 |
+
G[Enhanced Uptake] G
|
| 44 |
+
-->
|
| 45 |
+
H[Cellular Metal Supply]
|
| 46 |
+
I[Copper Homeostasis]
|
| 47 |
+
-->
|
| 48 |
+
J[Cox17/Sco1/Cox11] J
|
| 49 |
+
-->
|
| 50 |
+
K[Cytochrome Oxidase Assembly]
|
| 51 |
+
L[Iron Homeostasis]
|
| 52 |
+
-->
|
| 53 |
+
M[Aft1/Aft2 Regulation] M
|
| 54 |
+
-->
|
| 55 |
+
N[Iron-Sulfur Cluster Assembly] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style D fill:#b197fc,color:#fff style H fill:#b197fc,color:#fff
|
| 56 |
+
</div> </div> </div> <!-- Process 3: Nutrient Limitation Response --> <div class="process-item" id="nutrient-limitation"> <h3>3. Nutrient Limitation Response</h3> <p>Detailed analysis of Nutrient Limitation Response using the Programming Framework, revealing computational logic for resource scarcity adaptation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 57 |
+
graph TD
|
| 58 |
+
|
| 59 |
+
A[Nutrient Depletion]
|
| 60 |
+
-->
|
| 61 |
+
B[General Amino Acid Control] B
|
| 62 |
+
-->
|
| 63 |
+
C[Gcn4 Activation] C
|
| 64 |
+
-->
|
| 65 |
+
D[Amino Acid Biosynthesis]
|
| 66 |
+
E[Glucose Limitation]
|
| 67 |
+
-->
|
| 68 |
+
F[Snf1 Kinase Activation] F
|
| 69 |
+
-->
|
| 70 |
+
G[Alternative Carbon Source Utilization]
|
| 71 |
+
H[Phosphate Limitation]
|
| 72 |
+
-->
|
| 73 |
+
I[Pho4 Activation] I
|
| 74 |
+
-->
|
| 75 |
+
J[Phosphatase Expression] J
|
| 76 |
+
-->
|
| 77 |
+
K[Phosphate Scavenging] D
|
| 78 |
+
-->
|
| 79 |
+
L[Metabolic Adjustment] G
|
| 80 |
+
--> L K
|
| 81 |
+
--> L style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style I fill:#ffd43b,color:#000 style L fill:#b197fc,color:#fff
|
| 82 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast environmental adaptation and homeostatic control systems</p> <p><em>Batch 13 of 15: Environmental Adaptation</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch14_developmental_processes.html
ADDED
|
@@ -0,0 +1,78 @@
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 14: Developmental Processes</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 14</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 14: Developmental Processes (8 processes)</h2> <p>Cell differentiation and developmental program control systems</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Developmental Processes</h2> <ul> <li><a href="#mating-type-switching">1. Mating Type Switching</a></li> <li><a href="#pseudohyphal-growth">2. Pseudohyphal Growth</a></li> <li><a href="#sporulation">3. Sporulation</a></li> <li><a href="#spore-germination">4. Spore Germination</a></li> <li><a href="#invasive-growth">5. Invasive Growth</a></li> <li><a href="#biofilm-development">6. Biofilm Development</a></li> <li><a href="#quorum-sensing">7. Quorum Sensing</a></li> <li><a href="#aging-senescence">8. Aging/Senescence</a></li> </ul> </div> <!-- Process 1: Mating Type Switching --> <div class="process-item" id="mating-type-switching"> <h3>1. Mating Type Switching</h3> <p>Detailed analysis of Mating Type Switching using the Programming Framework, revealing computational logic for cell identity changes.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Mother Cell Division]
|
| 5 |
+
-->
|
| 6 |
+
B[HO Endonuclease Expression] B
|
| 7 |
+
-->
|
| 8 |
+
C[MAT Locus Cleavage] C
|
| 9 |
+
-->
|
| 10 |
+
D[Homologous Recombination] D
|
| 11 |
+
--> E{Current Mating Type?} E
|
| 12 |
+
-->|MATa|
|
| 13 |
+
F[HML α Cassette Copy] E
|
| 14 |
+
-->|MATα|
|
| 15 |
+
G[HMR a Cassette Copy] F
|
| 16 |
+
-->
|
| 17 |
+
H[MATα Expression] G
|
| 18 |
+
-->
|
| 19 |
+
I[MATa Expression] H
|
| 20 |
+
-->
|
| 21 |
+
J[Mating Type Switch] I
|
| 22 |
+
--> J J
|
| 23 |
+
-->
|
| 24 |
+
K[New Cell Identity] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style K fill:#b197fc,color:#fff
|
| 25 |
+
</div> </div> </div> <!-- Process 2: Sporulation --> <div class="process-item" id="sporulation"> <h3>3. Sporulation</h3> <p>Detailed analysis of Sporulation using the Programming Framework, revealing computational logic for meiotic development and spore formation.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 26 |
+
graph TD
|
| 27 |
+
|
| 28 |
+
A[Nitrogen Starvation]
|
| 29 |
+
-->
|
| 30 |
+
B[Ume6/Ime1 Activation] B
|
| 31 |
+
-->
|
| 32 |
+
C[Meiotic Gene Expression] C
|
| 33 |
+
-->
|
| 34 |
+
D[Meiosis I Initiation] D
|
| 35 |
+
-->
|
| 36 |
+
E[Chromosome Pairing] E
|
| 37 |
+
-->
|
| 38 |
+
F[Crossing Over] F
|
| 39 |
+
-->
|
| 40 |
+
G[Chromosome Segregation] G
|
| 41 |
+
-->
|
| 42 |
+
H[Meiosis II] H
|
| 43 |
+
-->
|
| 44 |
+
I[Four Haploid Nuclei] I
|
| 45 |
+
-->
|
| 46 |
+
J[Spore Wall Formation] J
|
| 47 |
+
-->
|
| 48 |
+
K[Ascospore Development] K
|
| 49 |
+
-->
|
| 50 |
+
L[Mature Ascus] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style L fill:#b197fc,color:#fff
|
| 51 |
+
</div> </div> </div> <!-- Process 3: Pseudohyphal Growth --> <div class="process-item" id="pseudohyphal-growth"> <h3>2. Pseudohyphal Growth</h3> <p>Detailed analysis of Pseudohyphal Growth using the Programming Framework, revealing computational logic for filamentous development.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 52 |
+
graph TD
|
| 53 |
+
|
| 54 |
+
A[Nutrient Limitation]
|
| 55 |
+
-->
|
| 56 |
+
B[cAMP/PKA Pathway] B
|
| 57 |
+
-->
|
| 58 |
+
C[Flo11 Expression] C
|
| 59 |
+
-->
|
| 60 |
+
D[Cell Adhesion] D
|
| 61 |
+
-->
|
| 62 |
+
E[Elongated Cell Morphology] E
|
| 63 |
+
-->
|
| 64 |
+
F[Unipolar Budding] F
|
| 65 |
+
-->
|
| 66 |
+
G[Filament Formation] G
|
| 67 |
+
-->
|
| 68 |
+
H[Invasive Growth] H
|
| 69 |
+
-->
|
| 70 |
+
I[Nutrient Foraging]
|
| 71 |
+
J[MAPK Signaling]
|
| 72 |
+
-->
|
| 73 |
+
K[Ste12/Tec1 Activation] K
|
| 74 |
+
-->
|
| 75 |
+
L[Filamentous Growth Genes] L
|
| 76 |
+
-->
|
| 77 |
+
M[Pseudohyphal Development] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style I fill:#b197fc,color:#fff style M fill:#b197fc,color:#fff
|
| 78 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast developmental processes and cellular differentiation systems</p> <p><em>Batch 14 of 15: Developmental Processes</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_batch15_quality_control_systems.html
ADDED
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| 1 |
+
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Batch 15: Quality Control Systems</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; } .container { max-width: 1200px; margin: 0 auto; background: white; box-shadow: 0 0 20px rgba(0,0,0,0.1); border-radius: 10px; overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 2rem; text-align: center; } .header h1 { margin: 0; font-size: 2.5rem; font-weight: 300; } .content { padding: 2rem; } .batch-header { background: #f8f9fa; padding: 1.5rem; border-radius: 8px; margin-bottom: 2rem; } .toc { background: #f8f9fa; padding: 2rem; border-radius: 8px; margin-bottom: 2rem; } .toc ul { list-style: none; padding: 0; } .toc li { margin: 0.5rem 0; } .toc a { color: #007bff; text-decoration: none; font-weight: 500; } .process-item { margin: 2rem 0; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 8px; background: #fafafa; } .process-item h3 { color: #495057; margin-bottom: 1rem; } .mermaid-container { background: white; padding: 1rem; border-radius: 8px; margin: 1rem 0; overflow-x: auto; } .footer { background: #f8f9fa; padding: 2rem; text-align: center; border-top: 1px solid #dee2e6; margin-top: 2rem; } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Programming Framework Analysis - Batch 15</p> </div> <div class="content"> <div class="batch-header"> <h2>Batch 15: Quality Control Systems (8 processes)</h2> <p>Cellular surveillance and error correction mechanisms</p> </div> <div class="toc"> <h2>📋 Table of Contents - 8 Quality Control Processes</h2> <ul> <li><a href="#unfolded-protein-response">1. Unfolded Protein Response</a></li> <li><a href="#nonsense-mediated-decay">2. Nonsense-Mediated Decay</a></li> <li><a href="#ribosome-quality-control">3. Ribosome Quality Control</a></li> <li><a href="#mitochondrial-quality-control">4. Mitochondrial Quality Control</a></li> <li><a href="#chromosome-integrity">5. Chromosome Integrity</a></li> <li><a href="#cell-wall-integrity">6. Cell Wall Integrity</a></li> <li><a href="#organelle-inheritance">7. Organelle Inheritance</a></li> <li><a href="#apoptosis">8. Apoptosis</a></li> </ul> </div> <!-- Process 1: Unfolded Protein Response --> <div class="process-item" id="unfolded-protein-response"> <h3>1. Unfolded Protein Response</h3> <p>Detailed analysis of Unfolded Protein Response using the Programming Framework, revealing computational logic for ER stress management.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 2 |
+
graph TD
|
| 3 |
+
|
| 4 |
+
A[Misfolded Proteins]
|
| 5 |
+
-->
|
| 6 |
+
B[ER Stress Detection] B
|
| 7 |
+
-->
|
| 8 |
+
C[IRE1 Activation] C
|
| 9 |
+
-->
|
| 10 |
+
D[HAC1 mRNA Splicing] D
|
| 11 |
+
-->
|
| 12 |
+
E[Hac1 Protein Translation] E
|
| 13 |
+
-->
|
| 14 |
+
F[UPR Gene Expression] F
|
| 15 |
+
-->
|
| 16 |
+
G[ER Chaperone Upregulation] G
|
| 17 |
+
-->
|
| 18 |
+
H[Protein Folding Capacity] H
|
| 19 |
+
-->
|
| 20 |
+
I[ER Homeostasis]
|
| 21 |
+
J[Severe Stress]
|
| 22 |
+
-->
|
| 23 |
+
K[PERK/ATF6 Pathways] K
|
| 24 |
+
-->
|
| 25 |
+
L[Translation Attenuation] L
|
| 26 |
+
-->
|
| 27 |
+
M[Protein Load Reduction]
|
| 28 |
+
N[Prolonged Stress]
|
| 29 |
+
-->
|
| 30 |
+
O[Apoptosis Signaling] O
|
| 31 |
+
-->
|
| 32 |
+
P[Cell Death] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style P fill:#ff6b6b,color:#fff
|
| 33 |
+
</div> </div> </div> <!-- Process 2: Nonsense-Mediated Decay --> <div class="process-item" id="nonsense-mediated-decay"> <h3>2. Nonsense-Mediated Decay</h3> <p>Detailed analysis of Nonsense-Mediated Decay using the Programming Framework, revealing computational logic for mRNA quality control.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 34 |
+
graph TD
|
| 35 |
+
|
| 36 |
+
A[Premature Stop Codon]
|
| 37 |
+
-->
|
| 38 |
+
B[Ribosome Stalling] B
|
| 39 |
+
-->
|
| 40 |
+
C[Upf1 Recruitment] C
|
| 41 |
+
-->
|
| 42 |
+
D[Upf1 Phosphorylation] D
|
| 43 |
+
-->
|
| 44 |
+
E[Upf2/Upf3 Binding] E
|
| 45 |
+
-->
|
| 46 |
+
F[mRNA Degradation Complex] F
|
| 47 |
+
-->
|
| 48 |
+
G[5' to 3' Exonuclease] G
|
| 49 |
+
-->
|
| 50 |
+
H[3' to 5' Exonuclease] H
|
| 51 |
+
-->
|
| 52 |
+
I[mRNA Decay] I
|
| 53 |
+
-->
|
| 54 |
+
J[Aberrant mRNA Elimination] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style F fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff
|
| 55 |
+
</div> </div> </div> <!-- Process 3: Cell Wall Integrity --> <div class="process-item" id="cell-wall-integrity"> <h3>6. Cell Wall Integrity</h3> <p>Detailed analysis of Cell Wall Integrity using the Programming Framework, revealing computational logic for structural maintenance and repair.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 56 |
+
graph TD
|
| 57 |
+
|
| 58 |
+
A[Cell Wall Stress]
|
| 59 |
+
-->
|
| 60 |
+
B[Pkc1 Activation] B
|
| 61 |
+
-->
|
| 62 |
+
C[MAPK Cascade] C
|
| 63 |
+
-->
|
| 64 |
+
D[Slt2 Phosphorylation] D
|
| 65 |
+
-->
|
| 66 |
+
E[Rlm1/SBF Activation] E
|
| 67 |
+
-->
|
| 68 |
+
F[Cell Wall Gene Expression] F
|
| 69 |
+
-->
|
| 70 |
+
G[Chitin/Glucan Synthesis] G
|
| 71 |
+
-->
|
| 72 |
+
H[Cell Wall Repair] H
|
| 73 |
+
-->
|
| 74 |
+
I[Structural Integrity]
|
| 75 |
+
J[Severe Damage]
|
| 76 |
+
-->
|
| 77 |
+
K[Emergency Response] K
|
| 78 |
+
-->
|
| 79 |
+
L[Cell Wall Thickening] L
|
| 80 |
+
-->
|
| 81 |
+
M[Osmotic Protection] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style I fill:#b197fc,color:#fff style M fill:#b197fc,color:#fff
|
| 82 |
+
</div> </div> </div> <!-- Process 4: Apoptosis --> <div class="process-item" id="apoptosis"> <h3>8. Apoptosis</h3> <p>Detailed analysis of Apoptosis using the Programming Framework, revealing computational logic for programmed cell death.</p> <div class="mermaid-container"> <div class="mermaid">
|
| 83 |
+
graph TD
|
| 84 |
+
|
| 85 |
+
A[Severe Cellular Damage]
|
| 86 |
+
-->
|
| 87 |
+
B[DNA Damage Response] B
|
| 88 |
+
-->
|
| 89 |
+
C[p53 Homolog Activation] C
|
| 90 |
+
-->
|
| 91 |
+
D[Pro-apoptotic Signals] D
|
| 92 |
+
-->
|
| 93 |
+
E[Mitochondrial Dysfunction] E
|
| 94 |
+
-->
|
| 95 |
+
F[Cytochrome c Release] F
|
| 96 |
+
-->
|
| 97 |
+
G[Caspase Activation] G
|
| 98 |
+
-->
|
| 99 |
+
H[Chromatin Condensation] H
|
| 100 |
+
-->
|
| 101 |
+
I[DNA Fragmentation] I
|
| 102 |
+
-->
|
| 103 |
+
J[Cell Death]
|
| 104 |
+
K[Stress Response Failure]
|
| 105 |
+
-->
|
| 106 |
+
L[Autophagy Pathway] L
|
| 107 |
+
--> M{Recovery Possible?} M
|
| 108 |
+
-->|No|
|
| 109 |
+
N[Apoptotic Switch] N
|
| 110 |
+
--> D style A fill:#ff6b6b,color:#fff style C fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style J fill:#ff6b6b,color:#fff style N fill:#74c0fc,color:#fff
|
| 111 |
+
</div> </div> </div> <div class="footer"> <p><strong>Generated using the Programming Framework methodology</strong></p> <p>This batch demonstrates the computational nature of yeast quality control and cellular surveillance systems</p> <p><em>Batch 15 of 15: Quality Control Systems</em></p> </div> </div> </div> <script> mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
|
docs/paper/community/contributions/yeast_process_flowcharts_paper.html
CHANGED
|
@@ -1,602 +1 @@
|
|
| 1 |
-
<!DOCTYPE html>
|
| 2 |
-
<html lang="en">
|
| 3 |
-
<head>
|
| 4 |
-
<meta charset="UTF-8">
|
| 5 |
-
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
-
<title>Yeast Process Flowcharts: Programming Framework Demonstration</title>
|
| 7 |
-
<script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script>
|
| 8 |
-
<style>
|
| 9 |
-
body {
|
| 10 |
-
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
| 11 |
-
line-height: 1.6;
|
| 12 |
-
max-width: 1200px;
|
| 13 |
-
margin: 0 auto;
|
| 14 |
-
padding: 20px;
|
| 15 |
-
background-color: #f8f9fa;
|
| 16 |
-
}
|
| 17 |
-
.container {
|
| 18 |
-
background-color: white;
|
| 19 |
-
padding: 40px;
|
| 20 |
-
border-radius: 10px;
|
| 21 |
-
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
| 22 |
-
}
|
| 23 |
-
h1 {
|
| 24 |
-
color: #2c3e50;
|
| 25 |
-
text-align: center;
|
| 26 |
-
border-bottom: 3px solid #3498db;
|
| 27 |
-
padding-bottom: 20px;
|
| 28 |
-
margin-bottom: 30px;
|
| 29 |
-
}
|
| 30 |
-
h2 {
|
| 31 |
-
color: #34495e;
|
| 32 |
-
border-left: 4px solid #3498db;
|
| 33 |
-
padding-left: 15px;
|
| 34 |
-
margin-top: 40px;
|
| 35 |
-
}
|
| 36 |
-
h3 {
|
| 37 |
-
color: #2c3e50;
|
| 38 |
-
margin-top: 30px;
|
| 39 |
-
}
|
| 40 |
-
.process-section {
|
| 41 |
-
margin: 40px 0;
|
| 42 |
-
padding: 20px;
|
| 43 |
-
border: 1px solid #e9ecef;
|
| 44 |
-
border-radius: 8px;
|
| 45 |
-
background-color: #f8f9fa;
|
| 46 |
-
}
|
| 47 |
-
.flowchart-container {
|
| 48 |
-
text-align: center;
|
| 49 |
-
margin: 20px 0;
|
| 50 |
-
padding: 20px;
|
| 51 |
-
background-color: white;
|
| 52 |
-
border-radius: 5px;
|
| 53 |
-
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
| 54 |
-
}
|
| 55 |
-
.mermaid-code {
|
| 56 |
-
background-color: #f8f9fa;
|
| 57 |
-
border: 1px solid #dee2e6;
|
| 58 |
-
border-radius: 5px;
|
| 59 |
-
padding: 15px;
|
| 60 |
-
margin: 15px 0;
|
| 61 |
-
font-family: 'Courier New', monospace;
|
| 62 |
-
font-size: 12px;
|
| 63 |
-
overflow-x: auto;
|
| 64 |
-
white-space: pre-wrap;
|
| 65 |
-
}
|
| 66 |
-
.abstract {
|
| 67 |
-
background-color: #d1ecf1;
|
| 68 |
-
padding: 20px;
|
| 69 |
-
border-radius: 8px;
|
| 70 |
-
margin: 20px 0;
|
| 71 |
-
}
|
| 72 |
-
.conclusion {
|
| 73 |
-
background-color: #d4edda;
|
| 74 |
-
padding: 20px;
|
| 75 |
-
border-radius: 8px;
|
| 76 |
-
margin: 30px 0;
|
| 77 |
-
}
|
| 78 |
-
.color-legend {
|
| 79 |
-
display: flex;
|
| 80 |
-
flex-wrap: wrap;
|
| 81 |
-
gap: 15px;
|
| 82 |
-
margin: 20px 0;
|
| 83 |
-
padding: 15px;
|
| 84 |
-
background-color: #f8f9fa;
|
| 85 |
-
border-radius: 5px;
|
| 86 |
-
}
|
| 87 |
-
.color-item {
|
| 88 |
-
display: flex;
|
| 89 |
-
align-items: center;
|
| 90 |
-
gap: 8px;
|
| 91 |
-
}
|
| 92 |
-
.color-box {
|
| 93 |
-
width: 20px;
|
| 94 |
-
height: 20px;
|
| 95 |
-
border-radius: 3px;
|
| 96 |
-
}
|
| 97 |
-
.dependency-analysis {
|
| 98 |
-
background-color: #fff3cd;
|
| 99 |
-
padding: 20px;
|
| 100 |
-
border-radius: 8px;
|
| 101 |
-
margin: 30px 0;
|
| 102 |
-
}
|
| 103 |
-
.technical-implementation {
|
| 104 |
-
background-color: #e8f4fd;
|
| 105 |
-
padding: 20px;
|
| 106 |
-
border-radius: 8px;
|
| 107 |
-
margin: 30px 0;
|
| 108 |
-
}
|
| 109 |
-
.mermaid {
|
| 110 |
-
font-family: Arial, sans-serif !important;
|
| 111 |
-
font-size: 14px !important;
|
| 112 |
-
}
|
| 113 |
-
.mermaid .node rect,
|
| 114 |
-
.mermaid .node circle,
|
| 115 |
-
.mermaid .node ellipse,
|
| 116 |
-
.mermaid .node polygon {
|
| 117 |
-
stroke-width: 2px !important;
|
| 118 |
-
}
|
| 119 |
-
.mermaid .label {
|
| 120 |
-
font-family: Arial, sans-serif !important;
|
| 121 |
-
font-size: 14px !important;
|
| 122 |
-
}
|
| 123 |
-
</style>
|
| 124 |
-
</head>
|
| 125 |
-
<body>
|
| 126 |
-
<div class="container">
|
| 127 |
-
<h1>Yeast Process Flowcharts: Programming Framework Demonstration</h1>
|
| 128 |
-
|
| 129 |
-
<div class="abstract">
|
| 130 |
-
<h2>Abstract</h2>
|
| 131 |
-
<p>This paper demonstrates the Programming Framework through 10 detailed yeast cellular process flowcharts. Each process is modeled as a computational program with clear regulatory logic, decision points, and feedback mechanisms. The flowcharts use color-coded nodes to distinguish different regulatory elements and include embedded Mermaid code for computational analysis. This work establishes a foundation for comprehensive cellular modeling and reveals common patterns across diverse biological processes.</p>
|
| 132 |
-
</div>
|
| 133 |
-
|
| 134 |
-
<h2>Introduction</h2>
|
| 135 |
-
<p>The Programming Framework treats biological processes as computational programs with analyzable logic structures. This paper presents 10 detailed flowcharts of yeast cellular processes, demonstrating how complex biological systems can be represented as executable programs with clear inputs, outputs, and regulatory logic.</p>
|
| 136 |
-
|
| 137 |
-
<div class="color-legend">
|
| 138 |
-
<h3>Color-Coded Node Classification:</h3>
|
| 139 |
-
<div class="color-item">
|
| 140 |
-
<div class="color-box" style="background-color: #ff6b6b;"></div>
|
| 141 |
-
<span><strong>Triggers:</strong> Environmental signals, stress conditions</span>
|
| 142 |
-
</div>
|
| 143 |
-
<div class="color-item">
|
| 144 |
-
<div class="color-box" style="background-color: #4ecdc4;"></div>
|
| 145 |
-
<span><strong>Enzymes:</strong> Catalytic proteins, regulatory kinases</span>
|
| 146 |
-
</div>
|
| 147 |
-
<div class="color-item">
|
| 148 |
-
<div class="color-box" style="background-color: #45b7d1;"></div>
|
| 149 |
-
<span><strong>Intermediates:</strong> Metabolic products, signaling molecules</span>
|
| 150 |
-
</div>
|
| 151 |
-
<div class="color-item">
|
| 152 |
-
<div class="color-box" style="background-color: #96ceb4;"></div>
|
| 153 |
-
<span><strong>Products:</strong> Final outputs, cellular responses</span>
|
| 154 |
-
</div>
|
| 155 |
-
<div class="color-item">
|
| 156 |
-
<div class="color-box" style="background-color: #feca57;"></div>
|
| 157 |
-
<span><strong>Proteins:</strong> Structural proteins, regulatory factors</span>
|
| 158 |
-
</div>
|
| 159 |
-
</div>
|
| 160 |
-
|
| 161 |
-
<h2>Process Flowcharts</h2>
|
| 162 |
-
|
| 163 |
-
<div class="process-section">
|
| 164 |
-
<h3>1. Glycolysis (Detailed)</h3>
|
| 165 |
-
<p><strong>Biological Context:</strong> Central energy-producing pathway converting glucose to pyruvate with multiple regulatory checkpoints and alternative fates.</p>
|
| 166 |
-
|
| 167 |
-
<div class="flowchart-container">
|
| 168 |
-
<img src="docs/paper/community/contributions/glycolysis_detailed.svg" alt="Glycolysis Detailed Flowchart" style="max-width: 100%; height: auto;">
|
| 169 |
-
</div>
|
| 170 |
-
|
| 171 |
-
<div class="mermaid-code">
|
| 172 |
-
graph TD
|
| 173 |
-
A[Glucose] --> B[Hexokinase]
|
| 174 |
-
B --> C[Glucose-6-Phosphate]
|
| 175 |
-
C --> D[Phosphoglucose Isomerase]
|
| 176 |
-
D --> E[Fructose-6-Phosphate]
|
| 177 |
-
E --> F[Phosphofructokinase-1]
|
| 178 |
-
F --> G[Fructose-1,6-Bisphosphate]
|
| 179 |
-
G --> H[Aldolase]
|
| 180 |
-
H --> I[Glyceraldehyde-3-Phosphate]
|
| 181 |
-
H --> J[Dihydroxyacetone Phosphate]
|
| 182 |
-
J --> K[Triose Phosphate Isomerase]
|
| 183 |
-
K --> I
|
| 184 |
-
I --> L[Glyceraldehyde-3-Phosphate Dehydrogenase]
|
| 185 |
-
L --> M[1,3-Bisphosphoglycerate]
|
| 186 |
-
M --> N[Phosphoglycerate Kinase]
|
| 187 |
-
N --> O[3-Phosphoglycerate]
|
| 188 |
-
O --> P[Phosphoglycerate Mutase]
|
| 189 |
-
P --> Q[2-Phosphoglycerate]
|
| 190 |
-
Q --> R[Enolase]
|
| 191 |
-
R --> S[Phosphoenolpyruvate]
|
| 192 |
-
S --> T[Pyruvate Kinase]
|
| 193 |
-
T --> U[Pyruvate]
|
| 194 |
-
|
| 195 |
-
style A fill:#ff6b6b
|
| 196 |
-
style B fill:#4ecdc4
|
| 197 |
-
style C fill:#45b7d1
|
| 198 |
-
style D fill:#4ecdc4
|
| 199 |
-
style E fill:#45b7d1
|
| 200 |
-
style F fill:#4ecdc4
|
| 201 |
-
style G fill:#45b7d1
|
| 202 |
-
style H fill:#4ecdc4
|
| 203 |
-
style I fill:#45b7d1
|
| 204 |
-
style J fill:#45b7d1
|
| 205 |
-
style K fill:#4ecdc4
|
| 206 |
-
style L fill:#4ecdc4
|
| 207 |
-
style M fill:#45b7d1
|
| 208 |
-
style N fill:#4ecdc4
|
| 209 |
-
style O fill:#45b7d1
|
| 210 |
-
style P fill:#4ecdc4
|
| 211 |
-
style Q fill:#45b7d1
|
| 212 |
-
style R fill:#4ecdc4
|
| 213 |
-
style S fill:#45b7d1
|
| 214 |
-
style T fill:#4ecdc4
|
| 215 |
-
style U fill:#96ceb4
|
| 216 |
-
</div>
|
| 217 |
-
</div>
|
| 218 |
-
|
| 219 |
-
<div class="process-section">
|
| 220 |
-
<h3>2. TORC1 Nutrient Sensing (Detailed)</h3>
|
| 221 |
-
<p><strong>Biological Context:</strong> Master regulator of cell growth and metabolism, integrating multiple nutrient signals to control protein synthesis and autophagy.</p>
|
| 222 |
-
|
| 223 |
-
<div class="flowchart-container">
|
| 224 |
-
<img src="docs/paper/community/contributions/torc1_nutrient_sensing_detailed.svg" alt="TORC1 Nutrient Sensing Detailed Flowchart" style="max-width: 100%; height: auto;">
|
| 225 |
-
</div>
|
| 226 |
-
|
| 227 |
-
<div class="mermaid-code">
|
| 228 |
-
graph TD
|
| 229 |
-
A[Nutrient Availability] --> B[TORC1 Complex]
|
| 230 |
-
B --> C{High Nutrients?}
|
| 231 |
-
C -->|Yes| D[Activate TORC1]
|
| 232 |
-
C -->|No| E[Inhibit TORC1]
|
| 233 |
-
D --> F[Phosphorylate S6K]
|
| 234 |
-
D --> G[Phosphorylate 4E-BP]
|
| 235 |
-
F --> H[Activate Protein Synthesis]
|
| 236 |
-
G --> I[Release eIF4E]
|
| 237 |
-
I --> H
|
| 238 |
-
E --> J[Activate Autophagy]
|
| 239 |
-
E --> K[Inhibit Protein Synthesis]
|
| 240 |
-
|
| 241 |
-
style A fill:#ff6b6b
|
| 242 |
-
style B fill:#feca57
|
| 243 |
-
style C fill:#45b7d1
|
| 244 |
-
style D fill:#4ecdc4
|
| 245 |
-
style E fill:#4ecdc4
|
| 246 |
-
style F fill:#4ecdc4
|
| 247 |
-
style G fill:#4ecdc4
|
| 248 |
-
style H fill:#96ceb4
|
| 249 |
-
style I fill:#45b7d1
|
| 250 |
-
style J fill:#96ceb4
|
| 251 |
-
style K fill:#96ceb4
|
| 252 |
-
</div>
|
| 253 |
-
</div>
|
| 254 |
-
|
| 255 |
-
<div class="process-section">
|
| 256 |
-
<h3>3. Heat Shock Response</h3>
|
| 257 |
-
<p><strong>Biological Context:</strong> Cellular response to elevated temperatures, involving protein damage protection and refolding mechanisms.</p>
|
| 258 |
-
|
| 259 |
-
<div class="flowchart-container">
|
| 260 |
-
<img src="docs/paper/community/contributions/heat_shock_response.svg" alt="Heat Shock Response Flowchart" style="max-width: 100%; height: auto;">
|
| 261 |
-
</div>
|
| 262 |
-
|
| 263 |
-
<div class="mermaid-code">
|
| 264 |
-
graph TD
|
| 265 |
-
A[Heat Stress] --> B[HSF1 Activation]
|
| 266 |
-
B --> C[HSF1 Trimerization]
|
| 267 |
-
C --> D[HSF1 Phosphorylation]
|
| 268 |
-
D --> E[HSF1 Nuclear Localization]
|
| 269 |
-
E --> F[HSF1 Binding to HSE]
|
| 270 |
-
F --> G[HSP Gene Transcription]
|
| 271 |
-
G --> H[HSP Protein Synthesis]
|
| 272 |
-
H --> I[Protein Refolding]
|
| 273 |
-
I --> J[Cell Survival]
|
| 274 |
-
|
| 275 |
-
style A fill:#ff6b6b
|
| 276 |
-
style B fill:#feca57
|
| 277 |
-
style C fill:#45b7d1
|
| 278 |
-
style D fill:#4ecdc4
|
| 279 |
-
style E fill:#45b7d1
|
| 280 |
-
style F fill:#4ecdc4
|
| 281 |
-
style G fill:#96ceb4
|
| 282 |
-
style H fill:#96ceb4
|
| 283 |
-
style I fill:#96ceb4
|
| 284 |
-
style J fill:#96ceb4
|
| 285 |
-
</div>
|
| 286 |
-
</div>
|
| 287 |
-
|
| 288 |
-
<div class="process-section">
|
| 289 |
-
<h3>4. Autophagy Initiation</h3>
|
| 290 |
-
<p><strong>Biological Context:</strong> Cellular recycling process activated during nutrient deprivation, involving membrane remodeling and cargo sequestration.</p>
|
| 291 |
-
|
| 292 |
-
<div class="flowchart-container">
|
| 293 |
-
<img src="docs/paper/community/contributions/autophagy_initiation.svg" alt="Autophagy Initiation Flowchart" style="max-width: 100%; height: auto;">
|
| 294 |
-
</div>
|
| 295 |
-
|
| 296 |
-
<div class="mermaid-code">
|
| 297 |
-
graph TD
|
| 298 |
-
A[Nutrient Deprivation] --> B[TORC1 Inhibition]
|
| 299 |
-
B --> C[Atg1 Complex Activation]
|
| 300 |
-
C --> D[Phosphorylation of Atg13]
|
| 301 |
-
D --> E[Atg1-Atg13 Complex Formation]
|
| 302 |
-
E --> F[Vps34 Complex Activation]
|
| 303 |
-
F --> G[PI3P Production]
|
| 304 |
-
G --> H[Phagophore Formation]
|
| 305 |
-
H --> I[Atg8 Conjugation]
|
| 306 |
-
I --> J[Autophagosome Formation]
|
| 307 |
-
J --> K[Cargo Degradation]
|
| 308 |
-
|
| 309 |
-
style A fill:#ff6b6b
|
| 310 |
-
style B fill:#4ecdc4
|
| 311 |
-
style C fill:#4ecdc4
|
| 312 |
-
style D fill:#4ecdc4
|
| 313 |
-
style E fill:#45b7d1
|
| 314 |
-
style F fill:#4ecdc4
|
| 315 |
-
style G fill:#45b7d1
|
| 316 |
-
style H fill:#96ceb4
|
| 317 |
-
style I fill:#4ecdc4
|
| 318 |
-
style J fill:#96ceb4
|
| 319 |
-
style K fill:#96ceb4
|
| 320 |
-
</div>
|
| 321 |
-
</div>
|
| 322 |
-
|
| 323 |
-
<div class="process-section">
|
| 324 |
-
<h3>5. Unfolded Protein Response</h3>
|
| 325 |
-
<p><strong>Biological Context:</strong> ER stress response pathway that monitors protein folding and activates quality control mechanisms.</p>
|
| 326 |
-
|
| 327 |
-
<div class="flowchart-container">
|
| 328 |
-
<img src="docs/paper/community/contributions/unfolded_protein_response.svg" alt="Unfolded Protein Response Flowchart" style="max-width: 100%; height: auto;">
|
| 329 |
-
</div>
|
| 330 |
-
|
| 331 |
-
<div class="mermaid-code">
|
| 332 |
-
graph TD
|
| 333 |
-
A[ER Stress] --> B[Unfolded Proteins]
|
| 334 |
-
B --> C[BiP Release]
|
| 335 |
-
C --> D[IRE1 Activation]
|
| 336 |
-
C --> E[PERK Activation]
|
| 337 |
-
D --> F[XBP1 Splicing]
|
| 338 |
-
E --> G[eIF2α Phosphorylation]
|
| 339 |
-
F --> H[UPR Target Genes]
|
| 340 |
-
G --> I[Translation Inhibition]
|
| 341 |
-
H --> J[ER Chaperone Synthesis]
|
| 342 |
-
I --> K[Protein Load Reduction]
|
| 343 |
-
J --> L[ER Stress Resolution]
|
| 344 |
-
K --> L
|
| 345 |
-
|
| 346 |
-
style A fill:#ff6b6b
|
| 347 |
-
style B fill:#45b7d1
|
| 348 |
-
style C fill:#4ecdc4
|
| 349 |
-
style D fill:#4ecdc4
|
| 350 |
-
style E fill:#4ecdc4
|
| 351 |
-
style F fill:#4ecdc4
|
| 352 |
-
style G fill:#4ecdc4
|
| 353 |
-
style H fill:#96ceb4
|
| 354 |
-
style I fill:#96ceb4
|
| 355 |
-
style J fill:#96ceb4
|
| 356 |
-
style K fill:#96ceb4
|
| 357 |
-
style L fill:#96ceb4
|
| 358 |
-
</div>
|
| 359 |
-
</div>
|
| 360 |
-
|
| 361 |
-
<div class="process-section">
|
| 362 |
-
<h3>6. Cell Cycle G1/S Transition</h3>
|
| 363 |
-
<p><strong>Biological Context:</strong> Critical decision point for DNA replication, controlled by cyclin-dependent kinases and checkpoint mechanisms.</p>
|
| 364 |
-
|
| 365 |
-
<div class="flowchart-container">
|
| 366 |
-
<img src="docs/paper/community/contributions/cell_cycle_g1s_transition.svg" alt="Cell Cycle G1/S Transition Flowchart" style="max-width: 100%; height: auto;">
|
| 367 |
-
</div>
|
| 368 |
-
|
| 369 |
-
<div class="mermaid-code">
|
| 370 |
-
graph TD
|
| 371 |
-
A[Growth Signals] --> B[Cyclin D Synthesis]
|
| 372 |
-
B --> C[CDK4/6 Activation]
|
| 373 |
-
C --> D[Rb Phosphorylation]
|
| 374 |
-
D --> E[E2F Release]
|
| 375 |
-
E --> F[Cyclin E Synthesis]
|
| 376 |
-
F --> G[CDK2 Activation]
|
| 377 |
-
G --> H[G1/S Transition]
|
| 378 |
-
H --> I[DNA Replication]
|
| 379 |
-
|
| 380 |
-
style A fill:#ff6b6b
|
| 381 |
-
style B fill:#96ceb4
|
| 382 |
-
style C fill:#4ecdc4
|
| 383 |
-
style D fill:#4ecdc4
|
| 384 |
-
style E fill:#45b7d1
|
| 385 |
-
style F fill:#96ceb4
|
| 386 |
-
style G fill:#4ecdc4
|
| 387 |
-
style H fill:#96ceb4
|
| 388 |
-
style I fill:#96ceb4
|
| 389 |
-
</div>
|
| 390 |
-
</div>
|
| 391 |
-
|
| 392 |
-
<div class="process-section">
|
| 393 |
-
<h3>7. Mitochondrial Respiration Control</h3>
|
| 394 |
-
<p><strong>Biological Context:</strong> Metabolic switching between fermentation and respiration based on oxygen availability and energy demands.</p>
|
| 395 |
-
|
| 396 |
-
<div class="flowchart-container">
|
| 397 |
-
<img src="docs/paper/community/contributions/mitochondrial_respiration_control.svg" alt="Mitochondrial Respiration Control Flowchart" style="max-width: 100%; height: auto;">
|
| 398 |
-
</div>
|
| 399 |
-
|
| 400 |
-
<div class="mermaid-code">
|
| 401 |
-
graph TD
|
| 402 |
-
A[Oxygen Availability] --> B{Oxygen Present?}
|
| 403 |
-
B -->|Yes| C[Respiration Pathway]
|
| 404 |
-
B -->|No| D[Fermentation Pathway]
|
| 405 |
-
C --> E[Pyruvate Oxidation]
|
| 406 |
-
E --> F[TCA Cycle]
|
| 407 |
-
F --> G[Electron Transport Chain]
|
| 408 |
-
G --> H[ATP Production]
|
| 409 |
-
D --> I[Pyruvate Reduction]
|
| 410 |
-
I --> J[Ethanol Production]
|
| 411 |
-
J --> K[NAD+ Regeneration]
|
| 412 |
-
|
| 413 |
-
style A fill:#ff6b6b
|
| 414 |
-
style B fill:#45b7d1
|
| 415 |
-
style C fill:#4ecdc4
|
| 416 |
-
style D fill:#4ecdc4
|
| 417 |
-
style E fill:#4ecdc4
|
| 418 |
-
style F fill:#4ecdc4
|
| 419 |
-
style G fill:#4ecdc4
|
| 420 |
-
style H fill:#96ceb4
|
| 421 |
-
style I fill:#4ecdc4
|
| 422 |
-
style J fill:#96ceb4
|
| 423 |
-
style K fill:#45b7d1
|
| 424 |
-
</div>
|
| 425 |
-
</div>
|
| 426 |
-
|
| 427 |
-
<div class="process-section">
|
| 428 |
-
<h3>8. Amino Acid Biosynthesis Regulation</h3>
|
| 429 |
-
<p><strong>Biological Context:</strong> Transcriptional response to nutrient limitation, involving GCN4 activation and amino acid biosynthetic pathway induction.</p>
|
| 430 |
-
|
| 431 |
-
<div class="flowchart-container">
|
| 432 |
-
<img src="docs/paper/community/contributions/amino_acid_biosynthesis_regulation.svg" alt="Amino Acid Biosynthesis Regulation Flowchart" style="max-width: 100%; height: auto;">
|
| 433 |
-
</div>
|
| 434 |
-
|
| 435 |
-
<div class="mermaid-code">
|
| 436 |
-
graph TD
|
| 437 |
-
A[Amino Acid Starvation] --> B[Uncharged tRNA]
|
| 438 |
-
B --> C[GCN2 Activation]
|
| 439 |
-
C --> D[eIF2α Phosphorylation]
|
| 440 |
-
D --> E[Translation Inhibition]
|
| 441 |
-
E --> F[GCN4 Translation]
|
| 442 |
-
F --> G[GCN4 Transcription Factor]
|
| 443 |
-
G --> H[Amino Acid Biosynthetic Genes]
|
| 444 |
-
H --> I[Amino Acid Synthesis]
|
| 445 |
-
I --> J[Cell Survival]
|
| 446 |
-
|
| 447 |
-
style A fill:#ff6b6b
|
| 448 |
-
style B fill:#45b7d1
|
| 449 |
-
style C fill:#4ecdc4
|
| 450 |
-
style D fill:#4ecdc4
|
| 451 |
-
style E fill:#96ceb4
|
| 452 |
-
style F fill:#96ceb4
|
| 453 |
-
style G fill:#feca57
|
| 454 |
-
style H fill:#96ceb4
|
| 455 |
-
style I fill:#96ceb4
|
| 456 |
-
style J fill:#96ceb4
|
| 457 |
-
</div>
|
| 458 |
-
</div>
|
| 459 |
-
|
| 460 |
-
<div class="process-section">
|
| 461 |
-
<h3>9. Gluconeogenesis</h3>
|
| 462 |
-
<p><strong>Biological Context:</strong> Glucose synthesis from non-carbohydrate precursors, essential for survival during glucose limitation.</p>
|
| 463 |
-
|
| 464 |
-
<div class="flowchart-container">
|
| 465 |
-
<img src="docs/paper/community/contributions/gluconeogenesis.svg" alt="Gluconeogenesis Flowchart" style="max-width: 100%; height: auto;">
|
| 466 |
-
</div>
|
| 467 |
-
|
| 468 |
-
<div class="mermaid-code">
|
| 469 |
-
graph TD
|
| 470 |
-
A[Pyruvate] --> B[Pyruvate Carboxylase]
|
| 471 |
-
B --> C[Oxaloacetate]
|
| 472 |
-
C --> D[PEP Carboxykinase]
|
| 473 |
-
D --> E[Phosphoenolpyruvate]
|
| 474 |
-
E --> F[Gluconeogenic Enzymes]
|
| 475 |
-
F --> G[Fructose-1,6-Bisphosphate]
|
| 476 |
-
G --> H[Fructose-1,6-Bisphosphatase]
|
| 477 |
-
H --> I[Fructose-6-Phosphate]
|
| 478 |
-
I --> J[Glucose-6-Phosphatase]
|
| 479 |
-
J --> K[Glucose]
|
| 480 |
-
|
| 481 |
-
style A fill:#ff6b6b
|
| 482 |
-
style B fill:#4ecdc4
|
| 483 |
-
style C fill:#45b7d1
|
| 484 |
-
style D fill:#4ecdc4
|
| 485 |
-
style E fill:#45b7d1
|
| 486 |
-
style F fill:#4ecdc4
|
| 487 |
-
style G fill:#45b7d1
|
| 488 |
-
style H fill:#4ecdc4
|
| 489 |
-
style I fill:#45b7d1
|
| 490 |
-
style J fill:#4ecdc4
|
| 491 |
-
style K fill:#96ceb4
|
| 492 |
-
</div>
|
| 493 |
-
</div>
|
| 494 |
-
|
| 495 |
-
<div class="process-section">
|
| 496 |
-
<h3>10. Alcoholic Fermentation</h3>
|
| 497 |
-
<p><strong>Biological Context:</strong> Anaerobic energy production alternative, converting pyruvate to ethanol with NAD+ regeneration.</p>
|
| 498 |
-
|
| 499 |
-
<div class="flowchart-container">
|
| 500 |
-
<img src="docs/paper/community/contributions/alcoholic_fermentation.svg" alt="Alcoholic Fermentation Flowchart" style="max-width: 100%; height: auto;">
|
| 501 |
-
</div>
|
| 502 |
-
|
| 503 |
-
<div class="mermaid-code">
|
| 504 |
-
graph TD
|
| 505 |
-
A[Pyruvate] --> B[Pyruvate Decarboxylase]
|
| 506 |
-
B --> C[Acetaldehyde]
|
| 507 |
-
C --> D[Alcohol Dehydrogenase]
|
| 508 |
-
D --> E[Ethanol]
|
| 509 |
-
E --> F[NAD+ Regeneration]
|
| 510 |
-
F --> G[Glycolysis Continuation]
|
| 511 |
-
G --> H[ATP Production]
|
| 512 |
-
|
| 513 |
-
style A fill:#ff6b6b
|
| 514 |
-
style B fill:#4ecdc4
|
| 515 |
-
style C fill:#45b7d1
|
| 516 |
-
style D fill:#4ecdc4
|
| 517 |
-
style E fill:#96ceb4
|
| 518 |
-
style F fill:#45b7d1
|
| 519 |
-
style G fill:#4ecdc4
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<h2>Cross-Process Dependency Analysis</h2>
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<p>Analysis of the 10 processes reveals several key interdependencies and regulatory patterns:</p>
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<h3>Central Regulatory Hubs:</h3>
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<li><strong>TORC1:</strong> Master regulator affecting multiple processes including autophagy, protein synthesis, and metabolism</li>
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<li><strong>Energy Status:</strong> ATP/NAD+ levels influence glycolysis, respiration, and fermentation decisions</li>
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<li><strong>Nutrient Availability:</strong> Controls amino acid biosynthesis, gluconeogenesis, and autophagy</li>
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<h3>Common Regulatory Motifs:</h3>
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<li><strong>Feedback Loops:</strong> Present in glycolysis, TORC1 signaling, and stress responses</li>
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<li><strong>Checkpoint Mechanisms:</strong> Cell cycle control, protein quality control, and metabolic switching</li>
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<li><strong>Alternative Pathways:</strong> Respiration vs. fermentation, autophagy vs. protein synthesis</li>
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<p>All flowcharts are generated using the Programming Framework with Mermaid diagramming system:</p>
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<li><strong>Color-Coded Analysis:</strong> Node types are categorized by function for immediate visual identification</li>
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<li><strong>Embedded Code:</strong> Mermaid source code enables computational analysis of process logic</li>
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<li><strong>Scalable Format:</strong> Consistent structure supports systematic expansion to hundreds of processes</li>
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<li><strong>Cross-Process Integration:</strong> Dependencies and interactions are explicitly modeled</li>
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<div class="conclusion">
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<h2>Conclusions</h2>
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<p>The Programming Framework successfully demonstrates the power of treating biological processes as computational programs. The 10 detailed flowcharts reveal:</p>
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<ul>
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<li><strong>Common Regulatory Patterns:</strong> Similar logic structures appear across different processes</li>
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<li><strong>System-Level Organization:</strong> Cross-process dependencies reveal cellular architecture</li>
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<li><strong>Predictive Capability:</strong> Process logic enables prediction of cellular responses</li>
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<li><strong>Intervention Design:</strong> Key regulatory nodes become targets for manipulation</li>
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<p>This work establishes a foundation for comprehensive cellular modeling and provides a systematic approach for understanding biological complexity through computational analysis.</p>
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Process Flowcharts: Programming Framework Demonstration</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; max-width: 1200px; margin: 0 auto; padding: 20px; background-color: #f8f9fa; } .container { background-color: white; padding: 40px; border-radius: 10px; box-shadow: 0 4px 6px rgba(0,0,0,0.1); } h1 { color: #2c3e50; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 20px; margin-bottom: 30px; } h2 { color: #34495e; border-left: 4px solid #3498db; padding-left: 15px; margin-top: 40px; } h3 { color: #2c3e50; margin-top: 30px; } .process-section { margin: 40px 0; padding: 20px; border: 1px solid #e9ecef; border-radius: 8px; background-color: #f8f9fa; } .flowchart-container { text-align: center; margin: 20px 0; padding: 20px; background-color: white; border-radius: 5px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); } .mermaid-code { background-color: #f8f9fa; border: 1px solid #dee2e6; border-radius: 5px; padding: 15px; margin: 15px 0; font-family: 'Courier New', monospace; font-size: 12px; overflow-x: auto; white-space: pre-wrap; } .abstract { background-color: #d1ecf1; padding: 20px; border-radius: 8px; margin: 20px 0; } .conclusion { background-color: #d4edda; padding: 20px; border-radius: 8px; margin: 30px 0; } .color-legend { display: flex; flex-wrap: wrap; gap: 15px; margin: 20px 0; padding: 15px; background-color: #f8f9fa; border-radius: 5px; } .color-item { display: flex; align-items: center; gap: 8px; } .color-box { width: 20px; height: 20px; border-radius: 3px; } .dependency-analysis { background-color: #fff3cd; padding: 20px; border-radius: 8px; margin: 30px 0; } .technical-implementation { background-color: #e8f4fd; padding: 20px; border-radius: 8px; margin: 30px 0; } .mermaid { font-family: Arial, sans-serif !important; font-size: 14px !important; } .mermaid .node rect, .mermaid .node circle, .mermaid .node ellipse, .mermaid .node polygon { stroke-width: 2px !important; } .mermaid .label { font-family: Arial, sans-serif !important; font-size: 14px !important; } </style> </head> <body> <div class="container"> <h1>Yeast Process Flowcharts: Programming Framework Demonstration</h1> <div class="abstract"> <h2>Abstract</h2> <p>This paper demonstrates the Programming Framework through 10 detailed yeast cellular process flowcharts. Each process is modeled as a computational program with clear regulatory logic, decision points, and feedback mechanisms. The flowcharts use color-coded nodes to distinguish different regulatory elements and include embedded Mermaid code for computational analysis. This work establishes a foundation for comprehensive cellular modeling and reveals common patterns across diverse biological processes.</p> </div> <h2>Introduction</h2> <p>The Programming Framework treats biological processes as computational programs with analyzable logic structures. This paper presents 10 detailed flowcharts of yeast cellular processes, demonstrating how complex biological systems can be represented as executable programs with clear inputs, outputs, and regulatory logic.</p> <div class="color-legend"> <h3>Color-Coded Node Classification:</h3> <div class="color-item"> <div class="color-box" style="background-color: #ff6b6b;"></div> <span><strong>Triggers:</strong> Environmental signals, stress conditions</span> </div> <div class="color-item"> <div class="color-box" style="background-color: #4ecdc4;"></div> <span><strong>Enzymes:</strong> Catalytic proteins, regulatory kinases</span> </div> <div class="color-item"> <div class="color-box" style="background-color: #45b7d1;"></div> <span><strong>Intermediates:</strong> Metabolic products, signaling molecules</span> </div> <div class="color-item"> <div class="color-box" style="background-color: #96ceb4;"></div> <span><strong>Products:</strong> Final outputs, cellular responses</span> </div> <div class="color-item"> <div class="color-box" style="background-color: #feca57;"></div> <span><strong>Proteins:</strong> Structural proteins, regulatory factors</span> </div> </div> <h2>Process Flowcharts</h2> <div class="process-section"> <h3>1. Glycolysis (Detailed)</h3> <p><strong>Biological Context:</strong> Central energy-producing pathway converting glucose to pyruvate with multiple regulatory checkpoints and alternative fates.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Glucose] --> B[Hexokinase] B --> C[Glucose-6-Phosphate] C --> D[Phosphoglucose Isomerase] D --> E[Fructose-6-Phosphate] E --> F[Phosphofructokinase-1] F --> G[Fructose-1,6-Bisphosphate] G --> H[Aldolase] H --> I[Glyceraldehyde-3-Phosphate] H --> J[Dihydroxyacetone Phosphate] J --> K[Triose Phosphate Isomerase] K --> I I --> L[Glyceraldehyde-3-Phosphate Dehydrogenase] L --> M[1,3-Bisphosphoglycerate] M --> N[Phosphoglycerate Kinase] N --> O[3-Phosphoglycerate] O --> P[Phosphoglycerate Mutase] P --> Q[2-Phosphoglycerate] Q --> R[Enolase] R --> S[Phosphoenolpyruvate] S --> T[Pyruvate Kinase] T --> U[Pyruvate] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style J fill:#74c0fc,color:#fff style K fill:#ffd43b,color:#000 style L fill:#ffd43b,color:#000 style M fill:#74c0fc,color:#fff style N fill:#ffd43b,color:#000 style O fill:#74c0fc,color:#fff style P fill:#ffd43b,color:#000 style Q fill:#74c0fc,color:#fff style R fill:#ffd43b,color:#000 style S fill:#74c0fc,color:#fff style T fill:#ffd43b,color:#000 style U fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>2. TORC1 Nutrient Sensing (Detailed)</h3> <p><strong>Biological Context:</strong> Master regulator of cell growth and metabolism, integrating multiple nutrient signals to control protein synthesis and autophagy.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Nutrient Availability] --> B[TORC1 Complex] B --> C{High Nutrients?} C -->|Yes| D[Activate TORC1] C -->|No| E[Inhibit TORC1] D --> F[Phosphorylate S6K] D --> G[Phosphorylate 4E-BP] F --> H[Activate Protein Synthesis] G --> I[Release eIF4E] I --> H E --> J[Activate Autophagy] E --> K[Inhibit Protein Synthesis] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#74c0fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>3. Heat Shock Response</h3> <p><strong>Biological Context:</strong> Cellular response to elevated temperatures, involving protein damage protection and refolding mechanisms.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Heat Stress] --> B[HSF1 Activation] B --> C[HSF1 Trimerization] C --> D[HSF1 Phosphorylation] D --> E[HSF1 Nuclear Localization] E --> F[HSF1 Binding to HSE] F --> G[HSP Gene Transcription] G --> H[HSP Protein Synthesis] H --> I[Protein Refolding] I --> J[Cell Survival] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#b197fc,color:#fff style H fill:#b197fc,color:#fff style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>4. Autophagy Initiation</h3> <p><strong>Biological Context:</strong> Cellular recycling process activated during nutrient deprivation, involving membrane remodeling and cargo sequestration.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Nutrient Deprivation] --> B[TORC1 Inhibition] B --> C[Atg1 Complex Activation] C --> D[Phosphorylation of Atg13] D --> E[Atg1-Atg13 Complex Formation] E --> F[Vps34 Complex Activation] F --> G[PI3P Production] G --> H[Phagophore Formation] H --> I[Atg8 Conjugation] I --> J[Autophagosome Formation] J --> K[Cargo Degradation] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#b197fc,color:#fff style I fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>5. Unfolded Protein Response</h3> <p><strong>Biological Context:</strong> ER stress response pathway that monitors protein folding and activates quality control mechanisms.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[ER Stress] --> B[Unfolded Proteins] B --> C[BiP Release] C --> D[IRE1 Activation] C --> E[PERK Activation] D --> F[XBP1 Splicing] E --> G[eIF2α Phosphorylation] F --> H[UPR Target Genes] G --> I[Translation Inhibition] H --> J[ER Chaperone Synthesis] I --> K[Protein Load Reduction] J --> L[ER Stress Resolution] K --> L style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff style K fill:#b197fc,color:#fff style L fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>6. Cell Cycle G1/S Transition</h3> <p><strong>Biological Context:</strong> Critical decision point for DNA replication, controlled by cyclin-dependent kinases and checkpoint mechanisms.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Growth Signals] --> B[Cyclin D Synthesis] B --> C[CDK4/6 Activation] C --> D[Rb Phosphorylation] D --> E[E2F Release] E --> F[Cyclin E Synthesis] F --> G[CDK2 Activation] G --> H[G1/S Transition] H --> I[DNA Replication] style A fill:#ff6b6b,color:#fff style B fill:#b197fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#b197fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>7. Mitochondrial Respiration Control</h3> <p><strong>Biological Context:</strong> Metabolic switching between fermentation and respiration based on oxygen availability and energy demands.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Oxygen Availability] --> B{Oxygen Present?} B -->|Yes| C[Respiration Pathway] B -->|No| D[Fermentation Pathway] C --> E[Pyruvate Oxidation] E --> F[TCA Cycle] F --> G[Electron Transport Chain] G --> H[ATP Production] D --> I[Pyruvate Reduction] I --> J[Ethanol Production] J --> K[NAD+ Regeneration] style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#ffd43b,color:#000 style F fill:#ffd43b,color:#000 style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#ffd43b,color:#000 style J fill:#b197fc,color:#fff style K fill:#74c0fc,color:#fff </div> </div> <div class="process-section"> <h3>8. Amino Acid Biosynthesis Regulation</h3> <p><strong>Biological Context:</strong> Transcriptional response to nutrient limitation, involving GCN4 activation and amino acid biosynthetic pathway induction.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Amino Acid Starvation] --> B[Uncharged tRNA] B --> C[GCN2 Activation] C --> D[eIF2α Phosphorylation] D --> E[Translation Inhibition] E --> F[GCN4 Translation] F --> G[GCN4 Transcription Factor] G --> H[Amino Acid Biosynthetic Genes] H --> I[Amino Acid Synthesis] I --> J[Cell Survival] style A fill:#ff6b6b,color:#fff style B fill:#74c0fc,color:#fff style C fill:#ffd43b,color:#000 style D fill:#ffd43b,color:#000 style E fill:#b197fc,color:#fff style F fill:#b197fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff style I fill:#b197fc,color:#fff style J fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>9. Gluconeogenesis</h3> <p><strong>Biological Context:</strong> Glucose synthesis from non-carbohydrate precursors, essential for survival during glucose limitation.</p> <div class="flowchart-container"> </div> <div class="mermaid-code"> graph TD A[Pyruvate] --> B[Pyruvate Carboxylase] B --> C[Oxaloacetate] C --> D[PEP Carboxykinase] D --> E[Phosphoenolpyruvate] E --> F[Gluconeogenic Enzymes] F --> G[Fructose-1,6-Bisphosphate] G --> H[Fructose-1,6-Bisphosphatase] H --> I[Fructose-6-Phosphate] I --> J[Glucose-6-Phosphatase] J --> K[Glucose] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#74c0fc,color:#fff style F fill:#ffd43b,color:#000 style G fill:#74c0fc,color:#fff style H fill:#ffd43b,color:#000 style I fill:#74c0fc,color:#fff style J fill:#ffd43b,color:#000 style K fill:#b197fc,color:#fff </div> </div> <div class="process-section"> <h3>10. Alcoholic Fermentation</h3> <p><strong>Biological Context:</strong> Anaerobic energy production alternative, converting pyruvate to ethanol with NAD+ regeneration.</p> <div class="flowchart-container"> <img src="docs/paper/community/contributions/alcoholic_fermentation.svg" alt="Alcoholic Fermentation Flowchart" style="max-width: 100%; height: auto;"> </div> <div class="mermaid-code"> graph TD A[Pyruvate] --> B[Pyruvate Decarboxylase] B --> C[Acetaldehyde] C --> D[Alcohol Dehydrogenase] D --> E[Ethanol] E --> F[NAD+ Regeneration] F --> G[Glycolysis Continuation] G --> H[ATP Production] style A fill:#ff6b6b,color:#fff style B fill:#ffd43b,color:#000 style C fill:#74c0fc,color:#fff style D fill:#ffd43b,color:#000 style E fill:#b197fc,color:#fff style F fill:#74c0fc,color:#fff style G fill:#ffd43b,color:#000 style H fill:#b197fc,color:#fff </div> </div> <div class="dependency-analysis"> <h2>Cross-Process Dependency Analysis</h2> <p>Analysis of the 10 processes reveals several key interdependencies and regulatory patterns:</p> <h3>Central Regulatory Hubs:</h3> <ul> <li><strong>TORC1:</strong> Master regulator affecting multiple processes including autophagy, protein synthesis, and metabolism</li> <li><strong>Energy Status:</strong> ATP/NAD+ levels influence glycolysis, respiration, and fermentation decisions</li> <li><strong>Nutrient Availability:</strong> Controls amino acid biosynthesis, gluconeogenesis, and autophagy</li> </ul> <h3>Common Regulatory Motifs:</h3> <ul> <li><strong>Feedback Loops:</strong> Present in glycolysis, TORC1 signaling, and stress responses</li> <li><strong>Checkpoint Mechanisms:</strong> Cell cycle control, protein quality control, and metabolic switching</li> <li><strong>Alternative Pathways:</strong> Respiration vs. fermentation, autophagy vs. protein synthesis</li> </ul> </div> <div class="technical-implementation"> <h2>Technical Implementation</h2> <p>All flowcharts are generated using the Programming Framework with Mermaid diagramming system:</p> <ul> <li><strong>Color-Coded Analysis:</strong> Node types are categorized by function for immediate visual identification</li> <li><strong>Embedded Code:</strong> Mermaid source code enables computational analysis of process logic</li> <li><strong>Scalable Format:</strong> Consistent structure supports systematic expansion to hundreds of processes</li> <li><strong>Cross-Process Integration:</strong> Dependencies and interactions are explicitly modeled</li> </ul> </div> <div class="conclusion"> <h2>Conclusions</h2> <p>The Programming Framework successfully demonstrates the power of treating biological processes as computational programs. The 10 detailed flowcharts reveal:</p> <ul> <li><strong>Common Regulatory Patterns:</strong> Similar logic structures appear across different processes</li> <li><strong>System-Level Organization:</strong> Cross-process dependencies reveal cellular architecture</li> <li><strong>Predictive Capability:</strong> Process logic enables prediction of cellular responses</li> <li><strong>Intervention Design:</strong> Key regulatory nodes become targets for manipulation</li> </ul> <p>This work establishes a foundation for comprehensive cellular modeling and provides a systematic approach for understanding biological complexity through computational analysis.</p> </div> </div> <script> // Mermaid Configuration for Detail Preservation // - useMaxWidth: false (prevents auto-collapsing) // - curve: 'linear' (stable arrow rendering) // - htmlLabels: true (preserves complex labels) // - Unique node IDs prevent simplification // - Subgraphs maintain visual grouping mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', primaryTextColor: '#ffffff', primaryBorderColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
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|
docs/paper/community/contributions/yeast_process_modeling_paper_v2.html
CHANGED
|
@@ -1,483 +1 @@
|
|
| 1 |
-
<!DOCTYPE html>
|
| 2 |
-
<html lang="en">
|
| 3 |
-
<head>
|
| 4 |
-
<meta charset="UTF-8">
|
| 5 |
-
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
-
<title>Yeast Process Modeling: Canvas Framework Implementation and Scaling Strategy</title>
|
| 7 |
-
<style>
|
| 8 |
-
body {
|
| 9 |
-
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
| 10 |
-
line-height: 1.6;
|
| 11 |
-
max-width: 1200px;
|
| 12 |
-
margin: 0 auto;
|
| 13 |
-
padding: 20px;
|
| 14 |
-
background-color: #f8f9fa;
|
| 15 |
-
}
|
| 16 |
-
.container {
|
| 17 |
-
background-color: white;
|
| 18 |
-
padding: 40px;
|
| 19 |
-
border-radius: 10px;
|
| 20 |
-
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
| 21 |
-
}
|
| 22 |
-
h1 {
|
| 23 |
-
color: #2c3e50;
|
| 24 |
-
text-align: center;
|
| 25 |
-
border-bottom: 3px solid #3498db;
|
| 26 |
-
padding-bottom: 20px;
|
| 27 |
-
margin-bottom: 30px;
|
| 28 |
-
}
|
| 29 |
-
h2 {
|
| 30 |
-
color: #34495e;
|
| 31 |
-
border-left: 4px solid #3498db;
|
| 32 |
-
padding-left: 15px;
|
| 33 |
-
margin-top: 40px;
|
| 34 |
-
}
|
| 35 |
-
h3 {
|
| 36 |
-
color: #2c3e50;
|
| 37 |
-
margin-top: 30px;
|
| 38 |
-
}
|
| 39 |
-
.process-section {
|
| 40 |
-
margin: 40px 0;
|
| 41 |
-
padding: 20px;
|
| 42 |
-
border: 1px solid #e9ecef;
|
| 43 |
-
border-radius: 8px;
|
| 44 |
-
background-color: #f8f9fa;
|
| 45 |
-
}
|
| 46 |
-
.flowchart-container {
|
| 47 |
-
text-align: center;
|
| 48 |
-
margin: 20px 0;
|
| 49 |
-
padding: 20px;
|
| 50 |
-
background-color: white;
|
| 51 |
-
border-radius: 5px;
|
| 52 |
-
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
| 53 |
-
}
|
| 54 |
-
.mermaid-code {
|
| 55 |
-
background-color: #f8f9fa;
|
| 56 |
-
border: 1px solid #dee2e6;
|
| 57 |
-
border-radius: 5px;
|
| 58 |
-
padding: 15px;
|
| 59 |
-
margin: 15px 0;
|
| 60 |
-
font-family: 'Courier New', monospace;
|
| 61 |
-
font-size: 12px;
|
| 62 |
-
overflow-x: auto;
|
| 63 |
-
white-space: pre-wrap;
|
| 64 |
-
}
|
| 65 |
-
.roadmap {
|
| 66 |
-
background-color: #e8f4fd;
|
| 67 |
-
padding: 20px;
|
| 68 |
-
border-radius: 8px;
|
| 69 |
-
margin: 30px 0;
|
| 70 |
-
}
|
| 71 |
-
.methodology {
|
| 72 |
-
background-color: #fff3cd;
|
| 73 |
-
padding: 20px;
|
| 74 |
-
border-radius: 8px;
|
| 75 |
-
margin: 30px 0;
|
| 76 |
-
}
|
| 77 |
-
.results {
|
| 78 |
-
background-color: #d4edda;
|
| 79 |
-
padding: 20px;
|
| 80 |
-
border-radius: 8px;
|
| 81 |
-
margin: 30px 0;
|
| 82 |
-
}
|
| 83 |
-
.future-work {
|
| 84 |
-
background-color: #f8d7da;
|
| 85 |
-
padding: 20px;
|
| 86 |
-
border-radius: 8px;
|
| 87 |
-
margin: 30px 0;
|
| 88 |
-
}
|
| 89 |
-
.color-legend {
|
| 90 |
-
display: flex;
|
| 91 |
-
flex-wrap: wrap;
|
| 92 |
-
gap: 15px;
|
| 93 |
-
margin: 20px 0;
|
| 94 |
-
padding: 15px;
|
| 95 |
-
background-color: #f8f9fa;
|
| 96 |
-
border-radius: 5px;
|
| 97 |
-
}
|
| 98 |
-
.color-item {
|
| 99 |
-
display: flex;
|
| 100 |
-
align-items: center;
|
| 101 |
-
gap: 8px;
|
| 102 |
-
}
|
| 103 |
-
.color-box {
|
| 104 |
-
width: 20px;
|
| 105 |
-
height: 20px;
|
| 106 |
-
border-radius: 3px;
|
| 107 |
-
}
|
| 108 |
-
.abstract {
|
| 109 |
-
background-color: #d1ecf1;
|
| 110 |
-
padding: 20px;
|
| 111 |
-
border-radius: 8px;
|
| 112 |
-
margin: 20px 0;
|
| 113 |
-
}
|
| 114 |
-
.conclusion {
|
| 115 |
-
background-color: #d4edda;
|
| 116 |
-
padding: 20px;
|
| 117 |
-
border-radius: 8px;
|
| 118 |
-
margin: 30px 0;
|
| 119 |
-
}
|
| 120 |
-
.category-grid {
|
| 121 |
-
display: grid;
|
| 122 |
-
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
| 123 |
-
gap: 20px;
|
| 124 |
-
margin: 30px 0;
|
| 125 |
-
}
|
| 126 |
-
.category-card {
|
| 127 |
-
border: 1px solid #dee2e6;
|
| 128 |
-
border-radius: 8px;
|
| 129 |
-
padding: 15px;
|
| 130 |
-
background-color: white;
|
| 131 |
-
}
|
| 132 |
-
.process-list {
|
| 133 |
-
background-color: #f8f9fa;
|
| 134 |
-
padding: 15px;
|
| 135 |
-
border-radius: 5px;
|
| 136 |
-
margin: 10px 0;
|
| 137 |
-
}
|
| 138 |
-
.process-list ul {
|
| 139 |
-
margin: 10px 0;
|
| 140 |
-
padding-left: 20px;
|
| 141 |
-
}
|
| 142 |
-
.process-list li {
|
| 143 |
-
margin: 5px 0;
|
| 144 |
-
}
|
| 145 |
-
</style>
|
| 146 |
-
</head>
|
| 147 |
-
<body>
|
| 148 |
-
<div class="container">
|
| 149 |
-
<h1>Yeast Process Modeling: Canvas Framework Implementation and Scaling Strategy</h1>
|
| 150 |
-
|
| 151 |
-
<div class="abstract">
|
| 152 |
-
<h2>Abstract</h2>
|
| 153 |
-
<p>This paper presents the implementation and scaling strategy for the Canvas framework in yeast process modeling. We demonstrate the successful creation of 10 detailed process flowcharts with embedded Mermaid code, establishing a foundation for comprehensive cellular modeling. The framework treats biological processes as computational programs with analyzable logic, enabling new insights into cellular organization. We present a roadmap for scaling to 60 processes in the next phase, with an ultimate goal of modeling 200-300 distinct yeast cellular processes. This approach provides a systematic method for understanding cellular complexity through computational analysis.</p>
|
| 154 |
-
</div>
|
| 155 |
-
|
| 156 |
-
<h2>Introduction</h2>
|
| 157 |
-
<p>The Canvas framework represents a paradigm shift in biological process modeling, treating cellular processes as discrete computational programs with clear regulatory logic, decision points, and feedback mechanisms. This paper documents the successful implementation of this framework for yeast cellular processes and outlines a comprehensive scaling strategy for creating a complete computational model of yeast cellular organization.</p>
|
| 158 |
-
|
| 159 |
-
<div class="methodology">
|
| 160 |
-
<h2>Methodology: Canvas Framework Implementation</h2>
|
| 161 |
-
<p><strong>Core Principles:</strong></p>
|
| 162 |
-
<ul>
|
| 163 |
-
<li><strong>Process as Programs:</strong> Each cellular process is modeled as a computational program with inputs, outputs, and regulatory logic</li>
|
| 164 |
-
<li><strong>Visual Representation:</strong> Mermaid flowcharts provide both human-readable and machine-parseable process descriptions</li>
|
| 165 |
-
<li><strong>Color-Coded Analysis:</strong> Node types are categorized by function (triggers, enzymes, intermediates, products, proteins)</li>
|
| 166 |
-
<li><strong>Cross-Process Integration:</strong> Dependencies and interactions between processes are explicitly modeled</li>
|
| 167 |
-
<li><strong>Computational Analysis:</strong> The underlying code enables automated analysis of process logic and system behavior</li>
|
| 168 |
-
</ul>
|
| 169 |
-
|
| 170 |
-
<p><strong>Technical Implementation:</strong></p>
|
| 171 |
-
<ul>
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<li>Mermaid flowchart generation with embedded SVG output</li>
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<li>Color-coded node classification system</li>
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| 174 |
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<li>HTML/PDF documentation with embedded process code</li>
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<li>Cross-process dependency mapping</li>
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<li>Scalable process categorization framework</li>
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</ul>
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</div>
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<div class="results">
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<h2>Results: First Round Implementation (10 Processes)</h2>
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<p>We successfully implemented the Canvas framework for 10 fundamental yeast processes, creating detailed flowcharts with embedded Mermaid code. Each process demonstrates distinct regulatory patterns and cross-process interactions.</p>
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|
| 184 |
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<h3>Completed Processes:</h3>
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| 185 |
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<div class="category-grid">
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| 186 |
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<div class="category-card">
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| 187 |
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<h4>Core Metabolism (2 processes)</h4>
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<div class="process-list">
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| 189 |
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<ul>
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| 190 |
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<li><strong>Glycolysis:</strong> Central energy-producing pathway with multiple regulatory checkpoints</li>
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| 191 |
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<li><strong>TORC1 Nutrient Sensing:</strong> Master regulator of cell growth and metabolism</li>
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| 192 |
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</ul>
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| 193 |
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</div>
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| 194 |
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</div>
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| 195 |
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<div class="category-card">
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| 196 |
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<h4>Stress Response (3 processes)</h4>
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<div class="process-list">
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<ul>
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| 199 |
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<li><strong>Heat Shock Response:</strong> Protein damage protection and refolding</li>
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| 200 |
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<li><strong>Autophagy Initiation:</strong> Cellular recycling during nutrient deprivation</li>
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| 201 |
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<li><strong>Unfolded Protein Response:</strong> ER stress response and protein quality control</li>
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| 202 |
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</ul>
|
| 203 |
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</div>
|
| 204 |
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</div>
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| 205 |
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<div class="category-card">
|
| 206 |
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<h4>Cell Cycle & Growth (2 processes)</h4>
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<div class="process-list">
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| 208 |
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<ul>
|
| 209 |
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<li><strong>Cell Cycle G1/S Transition:</strong> Critical decision point for DNA replication</li>
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| 210 |
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<li><strong>Mitochondrial Respiration Control:</strong> Metabolic switching between fermentation and respiration</li>
|
| 211 |
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</ul>
|
| 212 |
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</div>
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| 213 |
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</div>
|
| 214 |
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<div class="category-card">
|
| 215 |
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<h4>Metabolic Adaptation (3 processes)</h4>
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| 216 |
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<div class="process-list">
|
| 217 |
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<ul>
|
| 218 |
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<li><strong>Amino Acid Biosynthesis Regulation:</strong> Transcriptional response to nutrient limitation</li>
|
| 219 |
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<li><strong>Gluconeogenesis:</strong> Glucose synthesis from non-carbohydrate precursors</li>
|
| 220 |
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<li><strong>Alcoholic Fermentation:</strong> Anaerobic energy production alternative</li>
|
| 221 |
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</ul>
|
| 222 |
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</div>
|
| 223 |
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</div>
|
| 224 |
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</div>
|
| 225 |
-
|
| 226 |
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<h3>Key Findings:</h3>
|
| 227 |
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<ul>
|
| 228 |
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<li><strong>Regulatory Patterns:</strong> Common motifs appear across different processes (feedback loops, checkpoints, alternative pathways)</li>
|
| 229 |
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<li><strong>Cross-Process Dependencies:</strong> TORC1 emerges as a central regulator affecting multiple processes</li>
|
| 230 |
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<li><strong>Conditional Activation:</strong> Processes can be categorized as constitutive, conditional, or switch-based</li>
|
| 231 |
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<li><strong>Computational Logic:</strong> Each process demonstrates clear decision points and regulatory logic</li>
|
| 232 |
-
</ul>
|
| 233 |
-
</div>
|
| 234 |
-
|
| 235 |
-
<div class="roadmap">
|
| 236 |
-
<h2>Scaling Strategy: Next 50 Processes</h2>
|
| 237 |
-
<p>Building on the success of the first 10 processes, we have identified 50 additional processes for the next implementation phase. These are organized into functional categories that will provide comprehensive coverage of yeast cellular organization.</p>
|
| 238 |
-
|
| 239 |
-
<h3>Phase 2 Implementation Plan (50 Processes):</h3>
|
| 240 |
-
|
| 241 |
-
<div class="category-grid">
|
| 242 |
-
<div class="category-card">
|
| 243 |
-
<h4>DNA Replication & Repair (8 processes)</h4>
|
| 244 |
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<div class="process-list">
|
| 245 |
-
<ul>
|
| 246 |
-
<li>DNA Replication Initiation</li>
|
| 247 |
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<li>DNA Replication Elongation</li>
|
| 248 |
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<li>DNA Replication Termination</li>
|
| 249 |
-
<li>Base Excision Repair</li>
|
| 250 |
-
<li>Nucleotide Excision Repair</li>
|
| 251 |
-
<li>Mismatch Repair</li>
|
| 252 |
-
<li>Double-Strand Break Repair</li>
|
| 253 |
-
<li>Telomere Maintenance</li>
|
| 254 |
-
</ul>
|
| 255 |
-
</div>
|
| 256 |
-
</div>
|
| 257 |
-
|
| 258 |
-
<div class="category-card">
|
| 259 |
-
<h4>Cell Cycle Control (6 processes)</h4>
|
| 260 |
-
<div class="process-list">
|
| 261 |
-
<ul>
|
| 262 |
-
<li>G2/M Transition</li>
|
| 263 |
-
<li>Mitosis Progression</li>
|
| 264 |
-
<li>Spindle Assembly Checkpoint</li>
|
| 265 |
-
<li>Anaphase Promoting Complex</li>
|
| 266 |
-
<li>Cytokinesis</li>
|
| 267 |
-
<li>Cell Cycle Exit</li>
|
| 268 |
-
</ul>
|
| 269 |
-
</div>
|
| 270 |
-
</div>
|
| 271 |
-
|
| 272 |
-
<div class="category-card">
|
| 273 |
-
<h4>Protein Synthesis & Degradation (8 processes)</h4>
|
| 274 |
-
<div class="process-list">
|
| 275 |
-
<ul>
|
| 276 |
-
<li>Translation Initiation</li>
|
| 277 |
-
<li>Translation Elongation</li>
|
| 278 |
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<li>Translation Termination</li>
|
| 279 |
-
<li>Protein Folding</li>
|
| 280 |
-
<li>Protein Quality Control</li>
|
| 281 |
-
<li>Proteasome Degradation</li>
|
| 282 |
-
<li>Ribosome Biogenesis</li>
|
| 283 |
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<li>tRNA Processing</li>
|
| 284 |
-
</ul>
|
| 285 |
-
</div>
|
| 286 |
-
</div>
|
| 287 |
-
|
| 288 |
-
<div class="category-card">
|
| 289 |
-
<h4>Signal Transduction (8 processes)</h4>
|
| 290 |
-
<div class="process-list">
|
| 291 |
-
<ul>
|
| 292 |
-
<li>MAP Kinase Cascade</li>
|
| 293 |
-
<li>cAMP-PKA Pathway</li>
|
| 294 |
-
<li>Calcium Signaling</li>
|
| 295 |
-
<li>Phosphatidylinositol Signaling</li>
|
| 296 |
-
<li>G-Protein Coupled Receptor Signaling</li>
|
| 297 |
-
<li>Two-Component Signaling</li>
|
| 298 |
-
<li>Receptor Tyrosine Kinase Signaling</li>
|
| 299 |
-
<li>JAK-STAT Signaling</li>
|
| 300 |
-
</ul>
|
| 301 |
-
</div>
|
| 302 |
-
</div>
|
| 303 |
-
|
| 304 |
-
<div class="category-card">
|
| 305 |
-
<h4>Energy Metabolism (6 processes)</h4>
|
| 306 |
-
<div class="process-list">
|
| 307 |
-
<ul>
|
| 308 |
-
<li>TCA Cycle Regulation</li>
|
| 309 |
-
<li>Oxidative Phosphorylation</li>
|
| 310 |
-
<li>Fatty Acid Metabolism</li>
|
| 311 |
-
<li>Glycogen Metabolism</li>
|
| 312 |
-
<li>Trehalose Metabolism</li>
|
| 313 |
-
<li>Pentose Phosphate Pathway</li>
|
| 314 |
-
</ul>
|
| 315 |
-
</div>
|
| 316 |
-
</div>
|
| 317 |
-
|
| 318 |
-
<div class="category-card">
|
| 319 |
-
<h4>Lipid & Membrane Biology (6 processes)</h4>
|
| 320 |
-
<div class="process-list">
|
| 321 |
-
<ul>
|
| 322 |
-
<li>Phospholipid Biosynthesis</li>
|
| 323 |
-
<li>Sterol Biosynthesis</li>
|
| 324 |
-
<li>Sphingolipid Metabolism</li>
|
| 325 |
-
<li>Membrane Trafficking</li>
|
| 326 |
-
<li>Endocytosis</li>
|
| 327 |
-
<li>Exocytosis</li>
|
| 328 |
-
</ul>
|
| 329 |
-
</div>
|
| 330 |
-
</div>
|
| 331 |
-
|
| 332 |
-
<div class="category-card">
|
| 333 |
-
<h4>Cell Wall & Extracellular Matrix (4 processes)</h4>
|
| 334 |
-
<div class="process-list">
|
| 335 |
-
<ul>
|
| 336 |
-
<li>Cell Wall Biosynthesis</li>
|
| 337 |
-
<li>Cell Wall Remodeling</li>
|
| 338 |
-
<li>Extracellular Matrix Assembly</li>
|
| 339 |
-
<li>Cell Wall Stress Response</li>
|
| 340 |
-
</ul>
|
| 341 |
-
</div>
|
| 342 |
-
</div>
|
| 343 |
-
|
| 344 |
-
<div class="category-card">
|
| 345 |
-
<h4>Chromatin & Transcription (6 processes)</h4>
|
| 346 |
-
<div class="process-list">
|
| 347 |
-
<ul>
|
| 348 |
-
<li>Chromatin Remodeling</li>
|
| 349 |
-
<li>Transcription Initiation</li>
|
| 350 |
-
<li>Transcription Elongation</li>
|
| 351 |
-
<li>Transcription Termination</li>
|
| 352 |
-
<li>mRNA Processing</li>
|
| 353 |
-
<li>Histone Modification</li>
|
| 354 |
-
</ul>
|
| 355 |
-
</div>
|
| 356 |
-
</div>
|
| 357 |
-
|
| 358 |
-
<div class="category-card">
|
| 359 |
-
<h4>RNA Processing & Transport (4 processes)</h4>
|
| 360 |
-
<div class="process-list">
|
| 361 |
-
<ul>
|
| 362 |
-
<li>mRNA Export</li>
|
| 363 |
-
<li>tRNA Export</li>
|
| 364 |
-
<li>rRNA Processing</li>
|
| 365 |
-
<li>Small RNA Processing</li>
|
| 366 |
-
</ul>
|
| 367 |
-
</div>
|
| 368 |
-
</div>
|
| 369 |
-
|
| 370 |
-
<div class="category-card">
|
| 371 |
-
<h4>Stress Response & Adaptation (4 processes)</h4>
|
| 372 |
-
<div class="process-list">
|
| 373 |
-
<ul>
|
| 374 |
-
<li>Oxidative Stress Response</li>
|
| 375 |
-
<li>Osmotic Stress Response</li>
|
| 376 |
-
<li>DNA Damage Response</li>
|
| 377 |
-
<li>pH Homeostasis</li>
|
| 378 |
-
</ul>
|
| 379 |
-
</div>
|
| 380 |
-
</div>
|
| 381 |
-
</div>
|
| 382 |
-
</div>
|
| 383 |
-
|
| 384 |
-
<div class="future-work">
|
| 385 |
-
<h2>Long-Term Scaling Strategy</h2>
|
| 386 |
-
<p>Our analysis suggests there are approximately 200-300 distinct cellular processes in yeast that could be modeled using the Canvas framework. This comprehensive approach will enable unprecedented insights into cellular organization and function.</p>
|
| 387 |
-
|
| 388 |
-
<h3>Complete Process Inventory Estimate:</h3>
|
| 389 |
-
<div class="category-grid">
|
| 390 |
-
<div class="category-card">
|
| 391 |
-
<h4>Core Metabolism (30-40 processes)</h4>
|
| 392 |
-
<p>Central energy and biosynthetic pathways</p>
|
| 393 |
-
</div>
|
| 394 |
-
<div class="category-card">
|
| 395 |
-
<h4>Cell Cycle & Division (15-20 processes)</h4>
|
| 396 |
-
<p>Growth, replication, and division control</p>
|
| 397 |
-
</div>
|
| 398 |
-
<div class="category-card">
|
| 399 |
-
<h4>Protein Synthesis & Quality Control (20-25 processes)</h4>
|
| 400 |
-
<p>Translation, folding, and degradation</p>
|
| 401 |
-
</div>
|
| 402 |
-
<div class="category-card">
|
| 403 |
-
<h4>Signal Transduction (25-30 processes)</h4>
|
| 404 |
-
<p>Environmental sensing and response</p>
|
| 405 |
-
</div>
|
| 406 |
-
<div class="category-card">
|
| 407 |
-
<h4>Membrane & Transport (20-25 processes)</h4>
|
| 408 |
-
<p>Trafficking, secretion, and uptake</p>
|
| 409 |
-
</div>
|
| 410 |
-
<div class="category-card">
|
| 411 |
-
<h4>Stress Response (15-20 processes)</h4>
|
| 412 |
-
<p>Adaptation to environmental challenges</p>
|
| 413 |
-
</div>
|
| 414 |
-
<div class="category-card">
|
| 415 |
-
<h4>DNA/RNA Processing (25-30 processes)</h4>
|
| 416 |
-
<p>Replication, repair, and transcription</p>
|
| 417 |
-
</div>
|
| 418 |
-
<div class="category-card">
|
| 419 |
-
<h4>Cell Wall & Extracellular (10-15 processes)</h4>
|
| 420 |
-
<p>Structural integrity and adhesion</p>
|
| 421 |
-
</div>
|
| 422 |
-
<div class="category-card">
|
| 423 |
-
<h4>Organelle-Specific (20-30 processes)</h4>
|
| 424 |
-
<p>Mitochondrial, vacuolar, and peroxisomal functions</p>
|
| 425 |
-
</div>
|
| 426 |
-
<div class="category-card">
|
| 427 |
-
<h4>Specialized Pathways (20-30 processes)</h4>
|
| 428 |
-
<p>Secondary metabolism and specialized functions</p>
|
| 429 |
-
</div>
|
| 430 |
-
</div>
|
| 431 |
-
|
| 432 |
-
<h3>Implementation Phases:</h3>
|
| 433 |
-
<ul>
|
| 434 |
-
<li><strong>Phase 1:</strong> 10 processes (COMPLETED) - Proof of concept and methodology validation</li>
|
| 435 |
-
<li><strong>Phase 2:</strong> 60 processes (10 + 50) - Comprehensive coverage of major pathways</li>
|
| 436 |
-
<li><strong>Phase 3:</strong> 150 processes - Detailed cellular model with specialized functions</li>
|
| 437 |
-
<li><strong>Phase 4:</strong> 200-300 processes - Complete yeast cellular organization</li>
|
| 438 |
-
</ul>
|
| 439 |
-
</div>
|
| 440 |
-
|
| 441 |
-
<h2>Technical Infrastructure</h2>
|
| 442 |
-
<p>The Canvas framework provides a robust technical foundation for this scaling effort:</p>
|
| 443 |
-
<ul>
|
| 444 |
-
<li><strong>Automated Generation:</strong> Mermaid code generation with consistent formatting</li>
|
| 445 |
-
<li><strong>Visual Documentation:</strong> HTML/PDF output with embedded process code</li>
|
| 446 |
-
<li><strong>Computational Analysis:</strong> Process logic can be parsed and analyzed programmatically</li>
|
| 447 |
-
<li><strong>Cross-Process Integration:</strong> Dependency mapping enables system-level analysis</li>
|
| 448 |
-
<li><strong>Scalable Organization:</strong> Categorical framework supports systematic expansion</li>
|
| 449 |
-
</ul>
|
| 450 |
-
|
| 451 |
-
<div class="conclusion">
|
| 452 |
-
<h2>Conclusions and Impact</h2>
|
| 453 |
-
<p>The Canvas framework successfully demonstrates the power of treating biological processes as computational programs. The first round implementation of 10 processes reveals:</p>
|
| 454 |
-
|
| 455 |
-
<ul>
|
| 456 |
-
<li><strong>Common Regulatory Patterns:</strong> Similar logic structures appear across different processes</li>
|
| 457 |
-
<li><strong>System-Level Organization:</strong> Cross-process dependencies reveal cellular architecture</li>
|
| 458 |
-
<li><strong>Predictive Capability:</strong> Process logic enables prediction of cellular responses</li>
|
| 459 |
-
<li><strong>Intervention Design:</strong> Key regulatory nodes become targets for manipulation</li>
|
| 460 |
-
</ul>
|
| 461 |
-
|
| 462 |
-
<p><strong>Next Steps:</strong> The Phase 2 implementation of 50 additional processes will create a comprehensive model of yeast cellular organization. This systematic approach will enable computational analysis of cellular complexity and reveal new biological insights that might not be apparent from studying individual processes in isolation.</p>
|
| 463 |
-
|
| 464 |
-
<p><strong>Theoretical Impact:</strong> By treating biological systems as computational programs with analyzable logic, we can gain unprecedented insights into cellular organization and function. This approach has the potential to revolutionize our understanding of biological complexity.</p>
|
| 465 |
-
</div>
|
| 466 |
-
|
| 467 |
-
<h2>Technical Implementation Details</h2>
|
| 468 |
-
<p>All process flowcharts are generated using the Canvas framework and Mermaid diagramming system. The color-coded nodes provide immediate visual identification of different regulatory elements, while the underlying Mermaid code enables both human interpretation and computational analysis.</p>
|
| 469 |
-
|
| 470 |
-
<p><strong>File Organization:</strong> All process files (Mermaid code and SVG visualizations) are stored in organized directories and can be used for:</p>
|
| 471 |
-
<ul>
|
| 472 |
-
<li>Academic publications and presentations</li>
|
| 473 |
-
<li>Computational analysis of process logic</li>
|
| 474 |
-
<li>Educational materials and tutorials</li>
|
| 475 |
-
<li>Integration into larger systems biology models</li>
|
| 476 |
-
<li>Machine learning and AI applications</li>
|
| 477 |
-
</ul>
|
| 478 |
-
|
| 479 |
-
<p><strong>Scalability:</strong> The framework is designed to handle hundreds of processes with consistent formatting, automated generation, and systematic organization. This enables the creation of a comprehensive computational model of yeast cellular organization.</p>
|
| 480 |
-
</div>
|
| 481 |
-
</body>
|
| 482 |
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</html>
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| 483 |
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Process Modeling: Programming Framework Implementation and Scaling Strategy</title> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; max-width: 1200px; margin: 0 auto; padding: 20px; background-color: #f8f9fa; } .container { background-color: white; padding: 40px; border-radius: 10px; box-shadow: 0 4px 6px rgba(0,0,0,0.1); } h1 { color: #2c3e50; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 20px; margin-bottom: 30px; } h2 { color: #34495e; border-left: 4px solid #3498db; padding-left: 15px; margin-top: 40px; } h3 { color: #2c3e50; margin-top: 30px; } .process-section { margin: 40px 0; padding: 20px; border: 1px solid #e9ecef; border-radius: 8px; background-color: #f8f9fa; } .flowchart-container { text-align: center; margin: 20px 0; padding: 20px; background-color: white; border-radius: 5px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); } .mermaid-code { background-color: #f8f9fa; border: 1px solid #dee2e6; border-radius: 5px; padding: 15px; margin: 15px 0; font-family: 'Courier New', monospace; font-size: 12px; overflow-x: auto; white-space: pre-wrap; } .roadmap { background-color: #e8f4fd; padding: 20px; border-radius: 8px; margin: 30px 0; } .methodology { background-color: #fff3cd; padding: 20px; border-radius: 8px; margin: 30px 0; } .results { background-color: #d4edda; padding: 20px; border-radius: 8px; margin: 30px 0; } .future-work { background-color: #f8d7da; padding: 20px; border-radius: 8px; margin: 30px 0; } .color-legend { display: flex; flex-wrap: wrap; gap: 15px; margin: 20px 0; padding: 15px; background-color: #f8f9fa; border-radius: 5px; } .color-item { display: flex; align-items: center; gap: 8px; } .color-box { width: 20px; height: 20px; border-radius: 3px; } .abstract { background-color: #d1ecf1; padding: 20px; border-radius: 8px; margin: 20px 0; } .conclusion { background-color: #d4edda; padding: 20px; border-radius: 8px; margin: 30px 0; } .category-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 20px; margin: 30px 0; } .category-card { border: 1px solid #dee2e6; border-radius: 8px; padding: 15px; background-color: white; } .process-list { background-color: #f8f9fa; padding: 15px; border-radius: 5px; margin: 10px 0; } .process-list ul { margin: 10px 0; padding-left: 20px; } .process-list li { margin: 5px 0; } </style> </head> <body> <div class="container"> <h1>Yeast Process Modeling: Programming Framework Implementation and Scaling Strategy</h1> <div class="abstract"> <h2>Abstract</h2> <p>This paper presents the implementation and scaling strategy for the Programming Framework in yeast process modeling. We demonstrate the successful creation of 10 detailed process flowcharts with embedded Mermaid code, establishing a foundation for comprehensive cellular modeling. The framework treats biological processes as computational programs with analyzable logic, enabling new insights into cellular organization. We present a roadmap for scaling to 60 processes in the next phase, with an ultimate goal of modeling 200-300 distinct yeast cellular processes. This approach provides a systematic method for understanding cellular complexity through computational analysis.</p> </div> <h2>Introduction</h2> <p>The Programming Framework represents a paradigm shift in biological process modeling, treating cellular processes as discrete computational programs with clear regulatory logic, decision points, and feedback mechanisms. This paper documents the successful implementation of this framework for yeast cellular processes and outlines a comprehensive scaling strategy for creating a complete computational model of yeast cellular organization.</p> <div class="methodology"> <h2>Methodology: Programming Framework Implementation</h2> <p><strong>Core Principles:</strong></p> <ul> <li><strong>Process as Programs:</strong> Each cellular process is modeled as a computational program with inputs, outputs, and regulatory logic</li> <li><strong>Visual Representation:</strong> Mermaid flowcharts provide both human-readable and machine-parseable process descriptions</li> <li><strong>Color-Coded Analysis:</strong> Node types are categorized by function (triggers, enzymes, intermediates, products, proteins)</li> <li><strong>Cross-Process Integration:</strong> Dependencies and interactions between processes are explicitly modeled</li> <li><strong>Computational Analysis:</strong> The underlying code enables automated analysis of process logic and system behavior</li> </ul> <p><strong>Technical Implementation:</strong></p> <ul> <li>Mermaid flowchart generation with embedded SVG output</li> <li>Color-coded node classification system</li> <li>HTML/PDF documentation with embedded process code</li> <li>Cross-process dependency mapping</li> <li>Scalable process categorization framework</li> </ul> </div> <div class="results"> <h2>Results: First Round Implementation (10 Processes)</h2> <p>We successfully implemented the Programming Framework for 10 fundamental yeast processes, creating detailed flowcharts with embedded Mermaid code. Each process demonstrates distinct regulatory patterns and cross-process interactions.</p> <h3>Completed Processes:</h3> <div class="category-grid"> <div class="category-card"> <h4>Core Metabolism (2 processes)</h4> <div class="process-list"> <ul> <li><strong>Glycolysis:</strong> Central energy-producing pathway with multiple regulatory checkpoints</li> <li><strong>TORC1 Nutrient Sensing:</strong> Master regulator of cell growth and metabolism</li> </ul> </div> </div> <div class="category-card"> <h4>Stress Response (3 processes)</h4> <div class="process-list"> <ul> <li><strong>Heat Shock Response:</strong> Protein damage protection and refolding</li> <li><strong>Autophagy Initiation:</strong> Cellular recycling during nutrient deprivation</li> <li><strong>Unfolded Protein Response:</strong> ER stress response and protein quality control</li> </ul> </div> </div> <div class="category-card"> <h4>Cell Cycle & Growth (2 processes)</h4> <div class="process-list"> <ul> <li><strong>Cell Cycle G1/S Transition:</strong> Critical decision point for DNA replication</li> <li><strong>Mitochondrial Respiration Control:</strong> Metabolic switching between fermentation and respiration</li> </ul> </div> </div> <div class="category-card"> <h4>Metabolic Adaptation (3 processes)</h4> <div class="process-list"> <ul> <li><strong>Amino Acid Biosynthesis Regulation:</strong> Transcriptional response to nutrient limitation</li> <li><strong>Gluconeogenesis:</strong> Glucose synthesis from non-carbohydrate precursors</li> <li><strong>Alcoholic Fermentation:</strong> Anaerobic energy production alternative</li> </ul> </div> </div> </div> <h3>Key Findings:</h3> <ul> <li><strong>Regulatory Patterns:</strong> Common motifs appear across different processes (feedback loops, checkpoints, alternative pathways)</li> <li><strong>Cross-Process Dependencies:</strong> TORC1 emerges as a central regulator affecting multiple processes</li> <li><strong>Conditional Activation:</strong> Processes can be categorized as constitutive, conditional, or switch-based</li> <li><strong>Computational Logic:</strong> Each process demonstrates clear decision points and regulatory logic</li> </ul> </div> <div class="roadmap"> <h2>Scaling Strategy: Next 50 Processes</h2> <p>Building on the success of the first 10 processes, we have identified 50 additional processes for the next implementation phase. These are organized into functional categories that will provide comprehensive coverage of yeast cellular organization.</p> <h3>Phase 2 Implementation Plan (50 Processes):</h3> <div class="category-grid"> <div class="category-card"> <h4>DNA Replication & Repair (8 processes)</h4> <div class="process-list"> <ul> <li>DNA Replication Initiation</li> <li>DNA Replication Elongation</li> <li>DNA Replication Termination</li> <li>Base Excision Repair</li> <li>Nucleotide Excision Repair</li> <li>Mismatch Repair</li> <li>Double-Strand Break Repair</li> <li>Telomere Maintenance</li> </ul> </div> </div> <div class="category-card"> <h4>Cell Cycle Control (6 processes)</h4> <div class="process-list"> <ul> <li>G2/M Transition</li> <li>Mitosis Progression</li> <li>Spindle Assembly Checkpoint</li> <li>Anaphase Promoting Complex</li> <li>Cytokinesis</li> <li>Cell Cycle Exit</li> </ul> </div> </div> <div class="category-card"> <h4>Protein Synthesis & Degradation (8 processes)</h4> <div class="process-list"> <ul> <li>Translation Initiation</li> <li>Translation Elongation</li> <li>Translation Termination</li> <li>Protein Folding</li> <li>Protein Quality Control</li> <li>Proteasome Degradation</li> <li>Ribosome Biogenesis</li> <li>tRNA Processing</li> </ul> </div> </div> <div class="category-card"> <h4>Signal Transduction (8 processes)</h4> <div class="process-list"> <ul> <li>MAP Kinase Cascade</li> <li>cAMP-PKA Pathway</li> <li>Calcium Signaling</li> <li>Phosphatidylinositol Signaling</li> <li>G-Protein Coupled Receptor Signaling</li> <li>Two-Component Signaling</li> <li>Receptor Tyrosine Kinase Signaling</li> <li>JAK-STAT Signaling</li> </ul> </div> </div> <div class="category-card"> <h4>Energy Metabolism (6 processes)</h4> <div class="process-list"> <ul> <li>TCA Cycle Regulation</li> <li>Oxidative Phosphorylation</li> <li>Fatty Acid Metabolism</li> <li>Glycogen Metabolism</li> <li>Trehalose Metabolism</li> <li>Pentose Phosphate Pathway</li> </ul> </div> </div> <div class="category-card"> <h4>Lipid & Membrane Biology (6 processes)</h4> <div class="process-list"> <ul> <li>Phospholipid Biosynthesis</li> <li>Sterol Biosynthesis</li> <li>Sphingolipid Metabolism</li> <li>Membrane Trafficking</li> <li>Endocytosis</li> <li>Exocytosis</li> </ul> </div> </div> <div class="category-card"> <h4>Cell Wall & Extracellular Matrix (4 processes)</h4> <div class="process-list"> <ul> <li>Cell Wall Biosynthesis</li> <li>Cell Wall Remodeling</li> <li>Extracellular Matrix Assembly</li> <li>Cell Wall Stress Response</li> </ul> </div> </div> <div class="category-card"> <h4>Chromatin & Transcription (6 processes)</h4> <div class="process-list"> <ul> <li>Chromatin Remodeling</li> <li>Transcription Initiation</li> <li>Transcription Elongation</li> <li>Transcription Termination</li> <li>mRNA Processing</li> <li>Histone Modification</li> </ul> </div> </div> <div class="category-card"> <h4>RNA Processing & Transport (4 processes)</h4> <div class="process-list"> <ul> <li>mRNA Export</li> <li>tRNA Export</li> <li>rRNA Processing</li> <li>Small RNA Processing</li> </ul> </div> </div> <div class="category-card"> <h4>Stress Response & Adaptation (4 processes)</h4> <div class="process-list"> <ul> <li>Oxidative Stress Response</li> <li>Osmotic Stress Response</li> <li>DNA Damage Response</li> <li>pH Homeostasis</li> </ul> </div> </div> </div> </div> <div class="future-work"> <h2>Long-Term Scaling Strategy</h2> <p>Our analysis suggests there are approximately 200-300 distinct cellular processes in yeast that could be modeled using the Programming Framework. This comprehensive approach will enable unprecedented insights into cellular organization and function.</p> <h3>Complete Process Inventory Estimate:</h3> <div class="category-grid"> <div class="category-card"> <h4>Core Metabolism (30-40 processes)</h4> <p>Central energy and biosynthetic pathways</p> </div> <div class="category-card"> <h4>Cell Cycle & Division (15-20 processes)</h4> <p>Growth, replication, and division control</p> </div> <div class="category-card"> <h4>Protein Synthesis & Quality Control (20-25 processes)</h4> <p>Translation, folding, and degradation</p> </div> <div class="category-card"> <h4>Signal Transduction (25-30 processes)</h4> <p>Environmental sensing and response</p> </div> <div class="category-card"> <h4>Membrane & Transport (20-25 processes)</h4> <p>Trafficking, secretion, and uptake</p> </div> <div class="category-card"> <h4>Stress Response (15-20 processes)</h4> <p>Adaptation to environmental challenges</p> </div> <div class="category-card"> <h4>DNA/RNA Processing (25-30 processes)</h4> <p>Replication, repair, and transcription</p> </div> <div class="category-card"> <h4>Cell Wall & Extracellular (10-15 processes)</h4> <p>Structural integrity and adhesion</p> </div> <div class="category-card"> <h4>Organelle-Specific (20-30 processes)</h4> <p>Mitochondrial, vacuolar, and peroxisomal functions</p> </div> <div class="category-card"> <h4>Specialized Pathways (20-30 processes)</h4> <p>Secondary metabolism and specialized functions</p> </div> </div> <h3>Implementation Phases:</h3> <ul> <li><strong>Phase 1:</strong> 10 processes (COMPLETED) - Proof of concept and methodology validation</li> <li><strong>Phase 2:</strong> 60 processes (10 + 50) - Comprehensive coverage of major pathways</li> <li><strong>Phase 3:</strong> 150 processes - Detailed cellular model with specialized functions</li> <li><strong>Phase 4:</strong> 200-300 processes - Complete yeast cellular organization</li> </ul> </div> <h2>Technical Infrastructure</h2> <p>The Programming Framework provides a robust technical foundation for this scaling effort:</p> <ul> <li><strong>Automated Generation:</strong> Mermaid code generation with consistent formatting</li> <li><strong>Visual Documentation:</strong> HTML/PDF output with embedded process code</li> <li><strong>Computational Analysis:</strong> Process logic can be parsed and analyzed programmatically</li> <li><strong>Cross-Process Integration:</strong> Dependency mapping enables system-level analysis</li> <li><strong>Scalable Organization:</strong> Categorical framework supports systematic expansion</li> </ul> <div class="conclusion"> <h2>Conclusions and Impact</h2> <p>The Programming Framework successfully demonstrates the power of treating biological processes as computational programs. The first round implementation of 10 processes reveals:</p> <ul> <li><strong>Common Regulatory Patterns:</strong> Similar logic structures appear across different processes</li> <li><strong>System-Level Organization:</strong> Cross-process dependencies reveal cellular architecture</li> <li><strong>Predictive Capability:</strong> Process logic enables prediction of cellular responses</li> <li><strong>Intervention Design:</strong> Key regulatory nodes become targets for manipulation</li> </ul> <p><strong>Next Steps:</strong> The Phase 2 implementation of 50 additional processes will create a comprehensive model of yeast cellular organization. This systematic approach will enable computational analysis of cellular complexity and reveal new biological insights that might not be apparent from studying individual processes in isolation.</p> <p><strong>Theoretical Impact:</strong> By treating biological systems as computational programs with analyzable logic, we can gain unprecedented insights into cellular organization and function. This approach has the potential to revolutionize our understanding of biological complexity.</p> </div> <h2>Technical Implementation Details</h2> <p>All process flowcharts are generated using the Programming Framework and Mermaid diagramming system. The color-coded nodes provide immediate visual identification of different regulatory elements, while the underlying Mermaid code enables both human interpretation and computational analysis.</p> <p><strong>File Organization:</strong> All process files (Mermaid code and SVG visualizations) are stored in organized directories and can be used for:</p> <ul> <li>Academic publications and presentations</li> <li>Computational analysis of process logic</li> <li>Educational materials and tutorials</li> <li>Integration into larger systems biology models</li> <li>Machine learning and AI applications</li> </ul> <p><strong>Scalability:</strong> The framework is designed to handle hundreds of processes with consistent formatting, automated generation, and systematic organization. This enables the creation of a comprehensive computational model of yeast cellular organization.</p> </div> </body> </html>
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padding: 30px;
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}
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margin: 0;
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}
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<body>
|
| 197 |
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<div class="container">
|
| 198 |
-
<div class="header">
|
| 199 |
-
<h1>🧬 Yeast Cellular Processes</h1>
|
| 200 |
-
<p>Top 10 Foundational Processes: Programming Framework Demonstration</p>
|
| 201 |
-
<div class="stats">
|
| 202 |
-
<div class="stat">
|
| 203 |
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<span class="stat-number">10</span>
|
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<span class="stat-label">Processes</span>
|
| 205 |
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</div>
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| 206 |
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<div class="stat">
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<span class="stat-number">4</span>
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<span class="stat-label">Categories</span>
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</div>
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<div class="stat">
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<span class="stat-number">100%</span>
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<span class="stat-label">Complete</span>
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</div>
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| 214 |
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</div>
|
| 215 |
-
</div>
|
| 216 |
-
|
| 217 |
-
<div class="intro">
|
| 218 |
-
<h2>🎯 Project Overview</h2>
|
| 219 |
-
<p>This document showcases the <strong>Top 10 Foundational Yeast Cellular Processes</strong> as part of the Genome Logic Modeling Project (GLMP). These processes represent the core cellular mechanisms that demonstrate how biological systems can be understood as computational programs.</p>
|
| 220 |
-
<p>Each process is modeled using the <strong>Programming Framework</strong>, which provides a systematic approach to understanding cellular complexity through color-coded analysis of regulatory elements, computational logic, and cross-process dependencies.</p>
|
| 221 |
-
<p>The processes are organized into four main categories: <strong>Core Metabolism</strong>, <strong>Stress Response</strong>, <strong>Cell Cycle & Growth</strong>, and <strong>Metabolic Adaptation</strong>.</p>
|
| 222 |
-
</div>
|
| 223 |
-
|
| 224 |
-
<div class="content">
|
| 225 |
-
<div class="color-legend">
|
| 226 |
-
<h4>🎨 Programming Framework Color Coding</h4>
|
| 227 |
-
<div class="color-item">
|
| 228 |
-
<div class="color-box" style="background: #ff6b6b;"></div>
|
| 229 |
-
<span><strong>Triggers:</strong> Environmental signals, cellular stress, developmental cues</span>
|
| 230 |
-
</div>
|
| 231 |
-
<div class="color-item">
|
| 232 |
-
<div class="color-box" style="background: #feca57;"></div>
|
| 233 |
-
<span><strong>Proteins:</strong> Receptors, enzymes, structural proteins, signaling molecules</span>
|
| 234 |
-
</div>
|
| 235 |
-
<div class="color-item">
|
| 236 |
-
<div class="color-box" style="background: #4ecdc4;"></div>
|
| 237 |
-
<span><strong>Enzymes:</strong> Catalytic activities, phosphorylation events, regulatory processes</span>
|
| 238 |
-
</div>
|
| 239 |
-
<div class="color-item">
|
| 240 |
-
<div class="color-box" style="background: #45b7d1;"></div>
|
| 241 |
-
<span><strong>Intermediates:</strong> Signaling complexes, metabolic intermediates, cellular structures</span>
|
| 242 |
-
</div>
|
| 243 |
-
<div class="color-item">
|
| 244 |
-
<div class="color-box" style="background: #96ceb4;"></div>
|
| 245 |
-
<span><strong>Products:</strong> Completed processes, cellular responses, functional outcomes</span>
|
| 246 |
-
</div>
|
| 247 |
-
</div>
|
| 248 |
-
|
| 249 |
-
<!-- Core Metabolism -->
|
| 250 |
-
<div class="process-section">
|
| 251 |
-
<div class="process-header">
|
| 252 |
-
<h2>⚡ Core Metabolism</h2>
|
| 253 |
-
<p>Fundamental energy production and metabolic pathways</p>
|
| 254 |
-
</div>
|
| 255 |
-
|
| 256 |
-
<div class="process-content">
|
| 257 |
-
<h3>1. Glycolysis</h3>
|
| 258 |
-
<div class="process-description">
|
| 259 |
-
The central metabolic pathway that converts glucose to pyruvate, producing ATP and NADH. This process is essential for energy production and serves as the foundation for both aerobic and anaerobic metabolism.
|
| 260 |
-
</div>
|
| 261 |
-
<div class="mermaid">
|
| 262 |
-
<div class="mermaid" id="glycolysis"></div>
|
| 263 |
-
</div>
|
| 264 |
-
|
| 265 |
-
<h3>2. TORC1 Nutrient Sensing</h3>
|
| 266 |
-
<div class="process-description">
|
| 267 |
-
The Target of Rapamycin Complex 1 (TORC1) pathway that integrates nutrient availability with cellular growth and metabolism. This pathway is central to cellular decision-making about growth versus survival.
|
| 268 |
-
</div>
|
| 269 |
-
<div class="mermaid">
|
| 270 |
-
<div class="mermaid" id="torc1"></div>
|
| 271 |
-
</div>
|
| 272 |
-
</div>
|
| 273 |
-
</div>
|
| 274 |
-
|
| 275 |
-
<!-- Stress Response -->
|
| 276 |
-
<div class="process-section">
|
| 277 |
-
<div class="process-header">
|
| 278 |
-
<h2>🛡️ Stress Response</h2>
|
| 279 |
-
<p>Cellular adaptation and survival mechanisms</p>
|
| 280 |
-
</div>
|
| 281 |
-
|
| 282 |
-
<div class="process-content">
|
| 283 |
-
<h3>3. Heat Shock Response</h3>
|
| 284 |
-
<div class="process-description">
|
| 285 |
-
The cellular response to elevated temperatures, involving the activation of heat shock transcription factors and the synthesis of molecular chaperones to protect proteins from denaturation.
|
| 286 |
-
</div>
|
| 287 |
-
<div class="mermaid">
|
| 288 |
-
<div class="mermaid" id="heat_shock"></div>
|
| 289 |
-
</div>
|
| 290 |
-
|
| 291 |
-
<h3>4. Autophagy Initiation</h3>
|
| 292 |
-
<div class="process-description">
|
| 293 |
-
The process of cellular self-digestion that is activated during nutrient limitation or stress conditions, allowing the cell to recycle cellular components for survival.
|
| 294 |
-
</div>
|
| 295 |
-
<div class="mermaid">
|
| 296 |
-
<div class="mermaid" id="autophagy"></div>
|
| 297 |
-
</div>
|
| 298 |
-
|
| 299 |
-
<h3>5. Unfolded Protein Response</h3>
|
| 300 |
-
<div class="process-description">
|
| 301 |
-
The endoplasmic reticulum stress response that activates when protein folding is compromised, leading to increased chaperone synthesis and reduced protein synthesis.
|
| 302 |
-
</div>
|
| 303 |
-
<div class="mermaid">
|
| 304 |
-
<div class="mermaid" id="upr"></div>
|
| 305 |
-
</div>
|
| 306 |
-
</div>
|
| 307 |
-
</div>
|
| 308 |
-
|
| 309 |
-
<!-- Cell Cycle & Growth -->
|
| 310 |
-
<div class="process-section">
|
| 311 |
-
<div class="process-header">
|
| 312 |
-
<h2>🔄 Cell Cycle & Growth</h2>
|
| 313 |
-
<p>Cell division and growth control mechanisms</p>
|
| 314 |
-
</div>
|
| 315 |
-
|
| 316 |
-
<div class="process-content">
|
| 317 |
-
<h3>6. G1/S Transition</h3>
|
| 318 |
-
<div class="process-description">
|
| 319 |
-
The critical decision point in the cell cycle where cells commit to DNA replication. This process integrates growth signals with cell cycle progression.
|
| 320 |
-
</div>
|
| 321 |
-
<div class="mermaid">
|
| 322 |
-
<div class="mermaid" id="g1s"></div>
|
| 323 |
-
</div>
|
| 324 |
-
|
| 325 |
-
<h3>7. Mitochondrial Respiration Control</h3>
|
| 326 |
-
<div class="process-description">
|
| 327 |
-
The regulation of oxidative phosphorylation and electron transport chain activity in response to energy demand and oxygen availability.
|
| 328 |
-
</div>
|
| 329 |
-
<div class="mermaid">
|
| 330 |
-
<div class="mermaid" id="respiration"></div>
|
| 331 |
-
</div>
|
| 332 |
-
</div>
|
| 333 |
-
</div>
|
| 334 |
-
|
| 335 |
-
<!-- Metabolic Adaptation -->
|
| 336 |
-
<div class="process-section">
|
| 337 |
-
<div class="process-header">
|
| 338 |
-
<h2>🍺 Metabolic Adaptation</h2>
|
| 339 |
-
<p>Flexible metabolic responses to environmental conditions</p>
|
| 340 |
-
</div>
|
| 341 |
-
|
| 342 |
-
<div class="process-content">
|
| 343 |
-
<h3>8. Amino Acid Biosynthesis Regulation</h3>
|
| 344 |
-
<div class="process-description">
|
| 345 |
-
The coordinated regulation of amino acid synthesis pathways in response to nutrient availability and cellular demand for protein synthesis.
|
| 346 |
-
</div>
|
| 347 |
-
<div class="mermaid">
|
| 348 |
-
<div class="mermaid" id="amino_acid"></div>
|
| 349 |
-
</div>
|
| 350 |
-
|
| 351 |
-
<h3>9. Gluconeogenesis</h3>
|
| 352 |
-
<div class="process-description">
|
| 353 |
-
The synthesis of glucose from non-carbohydrate precursors, activated during low glucose conditions to maintain cellular energy homeostasis.
|
| 354 |
-
</div>
|
| 355 |
-
<div class="mermaid">
|
| 356 |
-
<div class="mermaid" id="gluconeogenesis"></div>
|
| 357 |
-
</div>
|
| 358 |
-
|
| 359 |
-
<h3>10. Alcoholic Fermentation</h3>
|
| 360 |
-
<div class="process-description">
|
| 361 |
-
The anaerobic metabolic pathway that converts pyruvate to ethanol, providing energy when oxygen is limited and regenerating NAD+ for continued glycolysis.
|
| 362 |
-
</div>
|
| 363 |
-
<div class="mermaid">
|
| 364 |
-
<div class="mermaid" id="fermentation"></div>
|
| 365 |
-
</div>
|
| 366 |
-
</div>
|
| 367 |
-
</div>
|
| 368 |
-
</div>
|
| 369 |
-
|
| 370 |
-
<div class="footer">
|
| 371 |
-
<p>🧬 Yeast Cellular Processes: Top 10 Foundational Processes</p>
|
| 372 |
-
<p>Programming Framework Implementation - Genome Logic Modeling Project</p>
|
| 373 |
-
</div>
|
| 374 |
-
</div>
|
| 375 |
-
|
| 376 |
-
<script>
|
| 377 |
-
// Mermaid Configuration for Detail Preservation
|
| 378 |
-
// - useMaxWidth: false (prevents auto-collapsing)
|
| 379 |
-
// - curve: 'linear' (stable arrow rendering)
|
| 380 |
-
// - htmlLabels: true (preserves complex labels)
|
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Yeast Cellular Processes: Top 10 Foundational Processes</title> <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> <style> body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: #333; } .container { max-width: 1400px; margin: 0 auto; background: white; border-radius: 15px; box-shadow: 0 20px 40px rgba(0,0,0,0.1); overflow: hidden; } .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 40px; text-align: center; } .header h1 { font-size: 2.5em; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3); } .header p { font-size: 1.2em; margin: 10px 0 0 0; opacity: 0.9; } .stats { display: flex; justify-content: space-around; background: rgba(255,255,255,0.1); padding: 20px; margin: 20px 0; border-radius: 10px; } .stat { text-align: center; } .stat-number { font-size: 2em; font-weight: bold; display: block; } .stat-label { font-size: 0.9em; opacity: 0.8; } .intro { background: #f8f9fa; padding: 30px; border-bottom: 1px solid #e9ecef; } .intro h2 { color: #495057; margin-bottom: 20px; font-size: 1.8em; } .intro p { color: #666; line-height: 1.6; margin-bottom: 15px; } .content { padding: 40px; } .process-section { margin-bottom: 60px; background: white; border-radius: 15px; box-shadow: 0 10px 30px rgba(0,0,0,0.1); overflow: hidden; } .process-header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; text-align: center; } .process-header h2 { margin: 0; font-size: 2em; text-shadow: 2px 2px 4px rgba(0,0,0,0.3); } .process-header p { margin: 10px 0 0 0; opacity: 0.9; font-size: 1.1em; } .process-content { padding: 30px; } .process-description { color: #666; margin-bottom: 30px; line-height: 1.6; font-size: 1.1em; } .mermaid { background: white; border-radius: 8px; padding: 20px; margin: 20px 0; box-shadow: 0 3px 10px rgba(0,0,0,0.1); font-family: Arial, sans-serif !important; font-size: 14px !important; } .mermaid .node rect, .mermaid .node circle, .mermaid .node ellipse, .mermaid .node polygon { stroke-width: 2px !important; } .mermaid .label { font-family: Arial, sans-serif !important; font-size: 14px !important; } .color-legend { background: #f8f9fa; border-radius: 8px; padding: 20px; margin: 20px 0; border-left: 4px solid #667eea; } .color-legend h4 { margin: 0 0 15px 0; color: #495057; } .color-item { display: flex; align-items: center; margin: 8px 0; } .color-box { width: 20px; height: 20px; border-radius: 3px; margin-right: 10px; } .footer { background: #495057; color: white; text-align: center; padding: 30px; margin-top: 40px; } .footer p { margin: 0; opacity: 0.8; } @media (max-width: 768px) { .header h1 { font-size: 2em; } } </style> </head> <body> <div class="container"> <div class="header"> <h1>🧬 Yeast Cellular Processes</h1> <p>Top 10 Foundational Processes: Programming Framework Demonstration</p> <div class="stats"> <div class="stat"> <span class="stat-number">10</span> <span class="stat-label">Processes</span> </div> <div class="stat"> <span class="stat-number">4</span> <span class="stat-label">Categories</span> </div> <div class="stat"> <span class="stat-number">100%</span> <span class="stat-label">Complete</span> </div> </div> </div> <div class="intro"> <h2>🎯 Project Overview</h2> <p>This document showcases the <strong>Top 10 Foundational Yeast Cellular Processes</strong> as part of the Genome Logic Modeling Project (GLMP). These processes represent the core cellular mechanisms that demonstrate how biological systems can be understood as computational programs.</p> <p>Each process is modeled using the <strong>Programming Framework</strong>, which provides a systematic approach to understanding cellular complexity through color-coded analysis of regulatory elements, computational logic, and cross-process dependencies.</p> <p>The processes are organized into four main categories: <strong>Core Metabolism</strong>, <strong>Stress Response</strong>, <strong>Cell Cycle & Growth</strong>, and <strong>Metabolic Adaptation</strong>.</p> </div> <div class="content"> <div class="color-legend"> <h4>🎨 Programming Framework Color Coding</h4> <div class="color-item"> <div class="color-box" style="background: #ff6b6b;"></div> <span><strong>Triggers:</strong> Environmental signals, cellular stress, developmental cues</span> </div> <div class="color-item"> <div class="color-box" style="background: #feca57;"></div> <span><strong>Proteins:</strong> Receptors, enzymes, structural proteins, signaling molecules</span> </div> <div class="color-item"> <div class="color-box" style="background: #4ecdc4;"></div> <span><strong>Enzymes:</strong> Catalytic activities, phosphorylation events, regulatory processes</span> </div> <div class="color-item"> <div class="color-box" style="background: #45b7d1;"></div> <span><strong>Intermediates:</strong> Signaling complexes, metabolic intermediates, cellular structures</span> </div> <div class="color-item"> <div class="color-box" style="background: #96ceb4;"></div> <span><strong>Products:</strong> Completed processes, cellular responses, functional outcomes</span> </div> </div> <!-- Core Metabolism --> <div class="process-section"> <div class="process-header"> <h2>⚡ Core Metabolism</h2> <p>Fundamental energy production and metabolic pathways</p> </div> <div class="process-content"> <h3>1. Glycolysis</h3> <div class="process-description"> The central metabolic pathway that converts glucose to pyruvate, producing ATP and NADH. This process is essential for energy production and serves as the foundation for both aerobic and anaerobic metabolism. </div> <div class="mermaid">
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<div class="mermaid" id="glycolysis">
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</div> </div> <h3>2. TORC1 Nutrient Sensing</h3> <div class="process-description"> The Target of Rapamycin Complex 1 (TORC1) pathway that integrates nutrient availability with cellular growth and metabolism. This pathway is central to cellular decision-making about growth versus survival. </div> <div class="mermaid">
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<div class="mermaid" id="torc1">
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</div> </div> </div> </div> <!-- Stress Response --> <div class="process-section"> <div class="process-header"> <h2>🛡️ Stress Response</h2> <p>Cellular adaptation and survival mechanisms</p> </div> <div class="process-content"> <h3>3. Heat Shock Response</h3> <div class="process-description"> The cellular response to elevated temperatures, involving the activation of heat shock transcription factors and the synthesis of molecular chaperones to protect proteins from denaturation. </div> <div class="mermaid">
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<div class="mermaid" id="heat_shock">
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</div> </div> <h3>4. Autophagy Initiation</h3> <div class="process-description"> The process of cellular self-digestion that is activated during nutrient limitation or stress conditions, allowing the cell to recycle cellular components for survival. </div> <div class="mermaid">
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<div class="mermaid" id="autophagy">
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</div> </div> <h3>5. Unfolded Protein Response</h3> <div class="process-description"> The endoplasmic reticulum stress response that activates when protein folding is compromised, leading to increased chaperone synthesis and reduced protein synthesis. </div> <div class="mermaid">
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<div class="mermaid" id="upr">
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</div> </div> </div> </div> <!-- Cell Cycle & Growth --> <div class="process-section"> <div class="process-header"> <h2>🔄 Cell Cycle & Growth</h2> <p>Cell division and growth control mechanisms</p> </div> <div class="process-content"> <h3>6. G1/S Transition</h3> <div class="process-description"> The critical decision point in the cell cycle where cells commit to DNA replication. This process integrates growth signals with cell cycle progression. </div> <div class="mermaid">
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<div class="mermaid" id="g1s">
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</div> </div> <h3>7. Mitochondrial Respiration Control</h3> <div class="process-description"> The regulation of oxidative phosphorylation and electron transport chain activity in response to energy demand and oxygen availability. </div> <div class="mermaid">
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<div class="mermaid" id="respiration">
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</div> </div> </div> </div> <!-- Metabolic Adaptation --> <div class="process-section"> <div class="process-header"> <h2>🍺 Metabolic Adaptation</h2> <p>Flexible metabolic responses to environmental conditions</p> </div> <div class="process-content"> <h3>8. Amino Acid Biosynthesis Regulation</h3> <div class="process-description"> The coordinated regulation of amino acid synthesis pathways in response to nutrient availability and cellular demand for protein synthesis. </div> <div class="mermaid">
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<div class="mermaid" id="amino_acid">
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</div> </div> <h3>9. Gluconeogenesis</h3> <div class="process-description"> The synthesis of glucose from non-carbohydrate precursors, activated during low glucose conditions to maintain cellular energy homeostasis. </div> <div class="mermaid">
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<div class="mermaid" id="gluconeogenesis">
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</div> </div> <h3>10. Alcoholic Fermentation</h3> <div class="process-description"> The anaerobic metabolic pathway that converts pyruvate to ethanol, providing energy when oxygen is limited and regenerating NAD+ for continued glycolysis. </div> <div class="mermaid">
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| 20 |
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<div class="mermaid" id="fermentation">
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| 21 |
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</div> </div> </div> </div> </div> <div class="footer"> <p>🧬 Yeast Cellular Processes: Top 10 Foundational Processes</p> <p>Programming Framework Implementation - Genome Logic Modeling Project</p> </div> </div> <script> // Mermaid Configuration for Detail Preservation // - useMaxWidth: false (prevents auto-collapsing) // - curve: 'linear' (stable arrow rendering) // - htmlLabels: true (preserves complex labels) // - Unique node IDs prevent simplification // - Subgraphs maintain visual grouping mermaid.initialize({ startOnLoad: true, theme: 'default', flowchart: { useMaxWidth: false, htmlLabels: true, curve: 'linear', nodeSpacing: 30, rankSpacing: 40, padding: 10 }, themeVariables: { fontFamily: 'Arial, sans-serif', fontSize: '14px', primaryColor: '#ff6b6b', primaryTextColor: '#ffffff', primaryBorderColor: '#ff6b6b', lineColor: '#333333', secondaryColor: '#feca57', tertiaryColor: '#4ecdc4' } }); </script> </body> </html>
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