Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Optimising antibody properties such as affinity can be detrimental to other key properties. Here the authors use machine learning to simplify the identification of antibodies with co-optimal levels of affinity and specificity for a clinical-stage antibody that displays high levels of on- and off-tar...

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Bibliographic Details
Main Authors: Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, Lina Wu, Matthew D. Smith, Tiexin Wang, Alec A. Desai, Craig N. Streu, Yulei Zhang, Jennifer M. Zupancic, John S. Schardt, Jennifer J. Linderman, Peter M. Tessier
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-31457-3

Internet

https://doi.org/10.1038/s41467-022-31457-3

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