BioinformaticsBioinformaticsPeer-reviewed
Evaluating Deep Learning Based Structure Prediction Methods on Antibody-Antigen Complexes
Samuel Fromm, Marko Ludaic, Arne Elofsson
This study benchmarks deep learning methods for predicting antibody-antigen complex structures, finding that increased sampling improves accuracy but model selection remains challenging, with AlphaFold3 performing best overall.
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