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Antibody PLMs match or outperform generic PLMs on specificity prediction

Antibody PLMs match or outperform generic PLMs on specificity prediction

Created Jul 02, 2024Modified Apr 21, 2026

  • protein-language-models/antibodies

Summary

PLMs for antibodies match or slightly outperform generic PLMs on antigen specificity prediction (1). In contrast, Generic PLMs outperform antibody-specific PLMs on zero-shot predictions of affinity changes.

1.
Wang M, Patsenker J, Li H, Kluger Y, Kleinstein SH. Language model-based B cell receptor sequence embeddings can effectively encode receptor specificity. Nucleic Acids Research. 2023;52(2):548–57. Available from: https://doi.org/10.1093/nar/gkad1128

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