TemBERTure Regression

Predict protein melting temperature (Tm, °C) and thermal class from amino acid sequence using a protBERT-BFD–based regression and classification framework. The predictor endpoint returns a continuous Tm estimate plus an optional thermophilic/non-thermophilic label, while the encoder endpoint provides sequence, per-residue, or CLS embeddings (max 512 residues, batch size up to 8). Typical uses include thermostability triage of enzyme variants, proteome-scale Tm profiling, and feature extraction for downstream screening models.