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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:mAbs
Subjects:
Antibody engineering
computational protein design
machine learning
yeast display
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2025.2534626
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https://www.tandfonline.com/doi/10.1080/19420862.2025.2534626

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