IgBert Paired

IgBert is an antibody-specific BERT model trained on over two billion unpaired and two million paired heavy–light variable region sequences from Observed Antibody Space. This API provides GPU-accelerated encoding of paired or unpaired antibody sequences into mean and residue-level embeddings, log-probability scoring of full sequences, and constrained sequence generation using “*” placeholders. Typical uses include repertoire analysis, developability filtering, affinity/expression proxy modeling, and in silico antibody design workflows.

antibodyembeddingsbertpredictiongenerationlanguage-modelembedding

Capabilities

Predictor
Encoder
Explainer
Generator
Classifier
Similarity

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