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id
string
protein_type
string
folding_variance
float64
conformational_entropy
float64
thermal_stability_ratio
float64
aggregation_index
float64
ph_stress_level
float64
trajectory_coherence_score
float64
stability_divergence_flag
int64
degradation_horizon_hours
int64
critical_structure_region
string
stabilization_strategy
string
notes
string
constraints
string
gold_check
string
AF-001
monoclonal_antibody
0.18
0.22
0.93
0.05
7.4
0.88
0
720
none
monitor only
Stable production batch
Under 300 words
coherence+risk+horizon
AF-002
enzyme
0.31
0.36
0.78
0.14
6.8
0.66
1
120
active_site
buffer adjust
Early drift
Under 300 words
coherence+risk+horizon
AF-003
cytokine
0.42
0.48
0.61
0.22
7.2
0.55
1
60
loop_region
stabilizing mutation
Functional loss rising
Under 300 words
coherence+risk+horizon
AF-004
antibody_fragment
0.24
0.28
0.85
0.09
7
0.79
0
340
hinge_region
temperature control
Stable trending
Under 300 words
coherence+risk+horizon
AF-005
synthetic_enzyme
0.51
0.57
0.49
0.33
6.5
0.44
1
24
core_domain
sequence redesign
Critical instability
Under 300 words
coherence+risk+horizon
AF-006
binding_protein
0.21
0.25
0.88
0.07
7.4
0.82
0
410
none
monitor only
Healthy
Under 300 words
coherence+risk+horizon

What this dataset tests

Whether predicted folding trajectories remain predictive of functional stability under stress conditions.

Structure alone is not enough. The path to structure must stay coherent with real-world stability.

When that relationship breaks therapeutic proteins fail in storage manufacturing or use.

Required outputs

trajectory_coherence_score

stability_divergence_flag

degradation_horizon_hours

critical_structure_region

stabilization_strategy

Use case

Antibody engineering enzyme therapeutics synthetic biology biomanufacturing

Detect functional decay before activity collapse.

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