KinaseHit-Screen
KinaseHit-Screen is a SYNTHETIC/DEMO drug discovery model for kinase inhibitor virtual screening. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified sequence data.
Sequence
BroadOpen Collective
License: MIT
v2.9.7
RTG 4.0
DL 291,314
Metrics
| Metric | Value | Split |
|---|---|---|
| Enrichment | 0.968 | Synthetic hold-out |
| Calibration (ECE) | 0.043 | Synthetic |
| Inputs | Outputs |
|---|---|
| Compound library | Ranked hits + scores |
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-016-kinasehit-screen/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<compound library>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-016-kinasehit-screen
Version history
| Version | Status | Notes |
|---|---|---|
| v2.9.0 | Archived | Synthetic release note 0 |
| v2.9.1 | Archived | Synthetic release note 1 |
| v2.9.2 | Archived | Synthetic release note 2 |
| v2.9.3 | Archived | Synthetic release note 3 |
| v2.9.4 | Archived | Synthetic release note 4 |
| v2.9.5 | Archived | Synthetic release note 5 |
| v2.9.6 | Archived | Synthetic release note 6 |
| v2.9.7 | Current | Synthetic release note 7 |
Community contributions: 136 synthetic contributors have submitted evaluations and fine-tunes.