DockFormer-Bind
DockFormer-Bind is a SYNTHETIC/DEMO drug discovery model for protein-ligand binding affinity prediction. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified sequence data.
Sequence
PathAI Community
License: CC-BY-4.0
v4.4.3
RTG 4.5
DL 399,277
Metrics
| Metric | Value | Split |
|---|---|---|
| Pearson r | 0.948 | Synthetic hold-out |
| Calibration (ECE) | 0.031 | Synthetic |
| Inputs | Outputs |
|---|---|
| SMILES + protein sequence | pKd + pose confidence |
Run a synthetic prediction
Returns a deterministic synthetic result — clearly labeled, not for clinical use.
API integration
Call this model from your pipeline (demo — no real key required):
import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-013-dockformer-bind/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<smiles + protein sequence>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-013-dockformer-bind
Version history
| Version | Status | Notes |
|---|---|---|
| v4.4.0 | Archived | Synthetic release note 0 |
| v4.4.1 | Archived | Synthetic release note 1 |
| v4.4.2 | Archived | Synthetic release note 2 |
| v4.4.3 | Current | Synthetic release note 3 |
Community contributions: 82 synthetic contributors have submitted evaluations and fine-tunes.