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Antibody structure prediction using interpretable deep learning
[article]
2021
bioRxiv
pre-print
Therapeutic antibodies make up a rapidly growing segment of the biologics market. However, rational design of antibodies is hindered by reliance on experimental methods for determining antibody structures. In recent years, deep learning methods have driven significant advances in general protein structure prediction. Here, we present DeepAb, a deep learning method for predicting accurate antibody FV structures from sequence. We evaluate DeepAb on two benchmark sets - one balanced for structural
doi:10.1101/2021.05.27.445982
fatcat:zxblrtj6zbf7dh5zj4kxju5czi