AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity

Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a vast fitness landscape. Designing optimal antibody sequences, however, remains a major challenge. Recent advances in deep learning provide opportunities to address this challenge by learning sequence–...

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Autori principali:	Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2025-12-01
Serie:	mAbs
Soggetti:	Antibody engineering computational protein design machine learning yeast display
Accesso online:	https://www.tandfonline.com/doi/10.1080/19420862.2025.2534626
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