ESM2StabP

Predict protein melting temperatures (Tm) and thermophilic vs non-thermophilic class directly from amino acid sequence using an ESM2-based regression model with random forest on layer-33 embeddings. The API supports batch prediction (up to 8 sequences, max length 1,022) and optionally incorporates optimal growth temperature and experimental condition (cell or lysate) to refine Tm estimates. Typical uses include screening enzyme variants, assessing stability in proteome-wide studies, and prioritizing candidates for experimental validation.