De Novo Design of Peptide Binders to Conformationally Diverse Targets with Contrastive Language Modeling
S. Bhat, K. Palepu, L. Hong, J. Mao, T. Ye, R. Iyer, L. Zhao, T. Chen, S. Vincoff, R. Watson, T. Wang, D. Srijay, V. S. Kavirayuni, K. Kholina, S. Goel, , P. Chatterjee
This paper designs short, target-binding linear peptides using a contrastive learning framework, demonstrating effective binding and degradation of conformationally diverse proteins.
bioRxiv · Jun 26, 2023 · PreprintBioengineering