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API Response Specification — EGFR AI Backend Bundle
This document describes the expected response shape for the backend/frontend integration.
1. Generate endpoint
Request
{
"preset": "egfr_generator",
"num_molecules": 100,
"return_top_k": 20,
"docking_mode": "off"
}
Allowed docking modes
off
top_k
all
Meaning:
off: no docking is run. Docking columns are returned as empty/null.
top_k: docking is run only for the top-k generated molecules after property + affinity scoring.
all: docking is run for all returned molecules. This is slower.
##
2. Response
**Review ai_artifacts_release\examples\generate_response.example.json
{
"job_id": "gen_001",
"preset": "egfr_generator",
"status": "completed",
"docking_mode": "off",
"summary": {
"num_generated": 100,
"num_valid": 100,
"num_returned": 20
},
"columns": [
"SMILES",
"SMILES_state",
"NLL",
"valid",
"canonical_smiles",
"mw",
"logp",
"tpsa",
"hbd",
"hba",
"rot_bonds",
"qed",
"sa_score",
"pred_pAff_mean",
"docking_score",
"docking_status",
"docking_pose_file"
],
"results": [
{
"SMILES": "CNCCC(=O)Nc1ccc2nncc(-c3ccc4cncnc4c3)c2c1",
"SMILES_state": 1,
"NLL": 5.71,
"valid": true,
"canonical_smiles": "CNCCC(=O)Nc1ccc2nncc(-c3ccc4cncnc4c3)c2c1",
"mw": 358.405,
"logp": 2.788,
"tpsa": 92.69,
"hbd": 2,
"hba": 6,
"rot_bonds": 5,
"qed": 0.5698,
"sa_score": 2.5204,
"pred_pAff_mean": 11.0104,
"docking_score": null,
"docking_status": "not_run",
"docking_pose_file": null
}
],
"warnings": [
"Outputs are computational predictions only.",
"Docking was not run for this job." ## depend on the user's preference
]
}
2. Score SMILES endpoint
Request
{
"smiles": [
"CCO",
"c1ccccc1"
],
"docking_mode": "off"
}
4. Frontend/filter recommendations
Recommended filters:
valid == true
mw between 250 and 600
logp between 0 and 6
tpsa between 40 and 140
qed >= 0.3
pred_pAff_mean available
docking_status in ["not_run", "completed"]