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Efficient evolution of human antibodies from general protein language models

Biology

Efficient evolution of human antibodies from general protein language models

B. L. Hie, V. R. Shanker, et al.

This groundbreaking research by Brian L. Hie, Varun R. Shanker, Duo Xu, Theodora U. J. Bruun, Payton A. Weidenbacher, Shaogeng Tang, Wesley Wu, John E. Pak, and Peter S. Kim showcases an innovative method where general protein language models effectively evolve human antibodies, achieving significant improvements in binding affinities and demonstrating broad applicability across protein families.

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