Kirill’s paper on data-driven synthetic peptide design selected for journal cover and ACS Editors’ Choice

Kirill’s paper using coarse-grained molecular simulation, deep representational learning, Gaussian process regression, and Bayesian optimization was selected to be featured on the front cover of J. Phys. Chem. B and also selected as an ACS Editors’ Choice article. Congrats, Kirill!