TEMPRO 650M

TEMPRO 650M predicts nanobody (VHH/sdAb) melting temperature (Tm) directly from amino acid sequence using ESM-2 650M protein embeddings and a deep neural network trained on 567 nanobodies. The API accepts single-chain nanobody-like sequences of 100–160 residues (batch size up to 8) and returns per-sequence Tm estimates in °C. Typical uses include screening, ranking, and prioritizing nanobody variants for thermostability in therapeutic, diagnostic, and biotechnological workflows.