A Comparison of Antibody-Antigen Complex Sequence-to-Structure Prediction Methods and their Systematic Biases
Katherine Maia McCoy,
Margaret E. Ackerman,
Gevorg Grigoryan
Abstract:The ability to accurately predict antibody-antigen complex structures from their sequences could greatly advance our understanding of the immune system and would aid in the development of novel antibody therapeutics. There have been considerable recent advancements in predicting protein-protein interactions (PPIs) fueled by progress in machine learning (ML). To understand the current state of the field, we compare six representative methods for predicting antibody-antigen complexes from sequence, including two… Show more
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