Diffuse Tm predictor

Predicts the apparent melting temperature (Tm) of a nanobody (VHH) from its amino acid sequence. The model is an antibody-specific transformer (AntiBERTa2) fine-tuned for Tm regression on nanobody melting-temperature data, ensembled across 5 training seeds. The reported value is the mean prediction across seeds; std is the standard deviation.

API usage

A JSON-only REST endpoint is also available for programmatic use.

GET https://diffuse-bio--tm.modal.run/?seq=<AMINO_ACID_SEQUENCE>

Example:

curl 'https://diffuse-bio--tm.modal.run/?seq=EVQLLESGGGLVQPGGSLRLSCAASGMDIDYQAMSWFRQAPGKEREFVSCISATGTVTYYADSVKGRFTISRDNSKNTLYLQMNSLKPEDTAVYYCGFSPDCFGERGLYDVSDSRWGQGTQVTVSS'

Response:

{"pred_tm": 67.42, "std": 1.83}

Constraints: amino-acid letters only (no X), max 1000 residues, rate limit 5 requests/minute per client. For large batch requests, get in touch.