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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Bibliografski detalji
Glavni autori: 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: Članak
Jezik:English
Izdano: Nature Portfolio 2022-07-01
Serija:Nature Communications
Online pristup:https://doi.org/10.1038/s41467-022-31457-3