TemBERTure Classifier

TemBERTure is an adapter-finetuned protBERT-BFD model for protein thermostability analysis that classifies sequences as thermophilic or non-thermophilic and outputs a calibrated probability score. The API exposes a GPU-accelerated classifier (up to 8 sequences per request, max length 512) and an encoder that returns sequence-level, per-residue, or CLS embeddings for downstream modeling. Typical uses include screening enzymes or proteomes, guiding thermostable variant selection, and building custom thermostability predictors.

predictiontransformerembedding

Capabilities

Predictor
Encoder
Explainer
Generator
Classifier
Similarity

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