Supervised fine-tuning of pre-trained antibody language models improves antigen specificity prediction

• Meng Wang,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0002-3453-7805

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• Jonathan Patsenker ,

  Contributed equally to this work with: Jonathan Patsenker, Henry Li

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Program in Applied Mathematics, Yale University, New Haven, Connecticut, United States of America

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• Henry Li ,

  Contributed equally to this work with: Jonathan Patsenker, Henry Li

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Program in Applied Mathematics, Yale University, New Haven, Connecticut, United States of America

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• Yuval Kluger ,

  Roles Conceptualization, Funding acquisition, Investigation, Supervision, Writing – review & editing

  ¶‡ YK and SHK also contributed equally to this work

  Affiliations Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America, Program in Applied Mathematics, Yale University, New Haven, Connecticut, United States of America, Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America

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• Steven H. Kleinstein

  Roles Conceptualization, Funding acquisition, Investigation, Supervision, Writing – review & editing

  * E-mail: steven.kleinstein@yale.edu

  ¶‡ YK and SHK also contributed equally to this work

  Affiliations Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America, Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America, Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0003-4957-1544

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