Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning

Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning

Abstract The application of machine learning (ML) models to optimize antibody affinity to an antigen is gaining prominence. Unfortunately, the small and biased nature of the publicly available antibody-antigen interaction datasets makes it challenging to build an ML model that can accurately predict...

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Bibliographic Details
Main Authors: Thomas Clark, Vidya Subramanian, Akila Jayaraman, Emmett Fitzpatrick, Ranjani Gopal, Niharika Pentakota, Troy Rurak, Shweta Anand, Alexander Viglione, Rahul Raman, Kannan Tharakaraman, Ram Sasisekharan
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Communications Chemistry
Online Access:https://doi.org/10.1038/s42004-023-01037-7

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https://doi.org/10.1038/s42004-023-01037-7

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