About this scholarly article

Applying Computational Protein Design to Therapeutic Antibody Discovery -- Current State and Perspectives by Bielska, Weronika; Jaszczyszyn, Igor; Dudzic, Pawel; Janusz, Bartosz; Chomicz, Dawid; Wrobel, Sonia; Greiff, Victor; Feehan, Ryan; Adolf-Bryfogle, Jared; Krawczyk, Konrad is a scholarly article available to read on EtoBox.

Machine learning applications in protein sciences have ushered in a new era for designing molecules in silico. Antibodies, which currently form the largest group of biologics in clinical use, stand to benefit greatly from this shift. Despite the proliferation of these protein design tools, their direct application to antibodies is often limited by the unique structural biology of these molecules. Here, we review the current computational methods for antibody design, highlighting their role in advancing computational drug discovery.

Author

Bielska, Weronika; Jaszczyszyn, Igor; Dudzic, Pawel; Janusz, Bartosz; Chomicz, Dawid; Wrobel, Sonia; Greiff, Victor; Feehan, Ryan; Adolf-Bryfogle, Jared; Krawczyk, Konrad

Published

2025

Language

EN