predict_dti
ActiveTool of Cure Cancer With AI
declared in 1.0.0
Predict drug–target binding affinity as pKd (−log10 Kd; higher = stronger binding) using IBM MAMMAL. Inference is CPU-bound and may take up to ~60s.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"target_seq",
"drug_seq"
],
"properties": {
"drug_seq": {
"type": "string",
"description": "Drug structure in SMILES notation."
},
"norm_y_std": {
"type": "number",
"description": "Optional normalization standard-deviation override."
},
"target_seq": {
"type": "string",
"description": "Target protein amino-acid sequence (single-letter codes)."
},
"norm_y_mean": {
"type": "number",
"description": "Optional normalization mean override."
}
},
"additionalProperties": false
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
Cure Cancer With AI
https://github.com/hifarrer/ccwai-api
1/7 registries