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

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 binding...

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Detalles Bibliográficos
Autores principales: Clark, Thomas, Subramanian, Vidya, Jayaraman, Akila, Fitzpatrick, Emmett, Gopal, Ranjani, Pentakota, Niharika, Rurak, Troy, Anand, Shweta, Viglione, Alexander, Raman, Rahul, Tharakaraman, Kannan, Sasisekharan, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636138/
https://www.ncbi.nlm.nih.gov/pubmed/37945793
http://dx.doi.org/10.1038/s42004-023-01037-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636138/
https://www.ncbi.nlm.nih.gov/pubmed/37945793
http://dx.doi.org/10.1038/s42004-023-01037-7

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