Robert P. Sheridan

Interpretable machine learning framework for peptide lead optimization in ultralarge design spaces

PepOpt is an interpretable machine learning framework that unifies molecule-based and sequence-based peptide representations in linear models and exploits dynamic programming to efficiently explore ultralarge peptide spaces, accelerating the rational design of novel peptide therapeutics.