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Pocket Restraints Guided by B-Cell Epitope Prediction Improves Chai-1 Antibody-Antigen Structure Modeling

2025-09-20

Abstract excerpt

The accurate prediction of antibody-antigen (AbAg) complexes is a key challenge for computational immunology, with applications in therapeutic antibody design and diagnostics. Current deep learning methods, such as AlphaFold and Chai, have the potential to generate high-confidence AbAg structures. However, these methods often fail to predict the correct AbAg structure, placing the antibody incorrectly on the antig...

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Literature Corpus work
dd3c564d-f57d-5b79-aec9-640b091878ed
DOI
10.1101/2025.09.17.676770
Open publication

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Pocket Restraints Guided by B-Cell Epitope Prediction Improves Chai-1 Antibody-Antigen Structure ModelingDOI 10.1101/2025.09.17.676770
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