MembraneFold-TM
MembraneFold-TM is a SYNTHETIC/DEMO protein folding model for transmembrane topology prediction. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified sequence data.
Sequence
DeepCell AI
License: CC-BY-4.0
v3.4.6
RTG 3.9
DL 418,401
Metrics
| Metric | Value | Split |
|---|---|---|
| Q3 | 0.825 | Synthetic hold-out |
| Calibration (ECE) | 0.037 | Synthetic |
| Inputs | Outputs |
|---|---|
| Sequence | Topology + helices |
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-024-membranefold-tm/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<sequence>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-024-membranefold-tm
Version history
| Version | Status | Notes |
|---|---|---|
| v3.4.0 | Archived | Synthetic release note 0 |
| v3.4.1 | Archived | Synthetic release note 1 |
| v3.4.2 | Archived | Synthetic release note 2 |
| v3.4.3 | Archived | Synthetic release note 3 |
| v3.4.4 | Archived | Synthetic release note 4 |
| v3.4.5 | Archived | Synthetic release note 5 |
| v3.4.6 | Current | Synthetic release note 6 |
Community contributions: 64 synthetic contributors have submitted evaluations and fine-tunes.