quantum-ai2 / src /bio_knowledge /__init__.py
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"""
Biological Knowledge Integration for Cancer Hypothesis Generation
This module integrates real biological data with Thought-Compression Language (TCL)
and Quantum H-bond protein folding to generate novel cancer treatment hypotheses.
NEW: Virtual Cancer Cell Simulator - Test treatments digitally!
WARNING: This is real scientific software. All data and calculations are based on
actual biochemical principles and published scientific knowledge.
"""
from .biological_database import (
BiologicalKnowledgeBase,
Protein,
CancerPathway,
Drug,
MolecularInteraction,
)
from .cancer_hypothesis_generator import (
CancerHypothesisGenerator,
Hypothesis,
HypothesisMetrics,
CausalChain,
)
from .tcl_quantum_integrator import (
TCLQuantumIntegrator,
QuantumProteinAnalysis,
TCLCausalChain,
)
from .protein_sequence_retriever import (
ProteinSequenceRetriever,
ProteinSequenceRecord,
)
from .dna_sequence_retriever import (
DNASequenceRetriever,
GeneStructure,
GenomicRegion,
)
from .quantum_dna_optimizer import (
QuantumDNAOptimizer,
OptimizedDNA,
DNAQuantumAnalysis,
)
from .virtual_cancer_cell_simulator import (
VirtualCancerCellSimulator,
VirtualCellState,
TreatmentOutcome,
CellState,
)
__all__ = [
"BiologicalKnowledgeBase",
"Protein",
"CancerPathway",
"Drug",
"MolecularInteraction",
"CancerHypothesisGenerator",
"Hypothesis",
"HypothesisMetrics",
"CausalChain",
"TCLQuantumIntegrator",
"QuantumProteinAnalysis",
"TCLCausalChain",
"ProteinSequenceRetriever",
"ProteinSequenceRecord",
"DNASequenceRetriever",
"GeneStructure",
"GenomicRegion",
"QuantumDNAOptimizer",
"OptimizedDNA",
"DNAQuantumAnalysis",
"VirtualCancerCellSimulator",
"VirtualCellState",
"TreatmentOutcome",
"CellState",
]