Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids (Adv. Mater. 30/2022)

Polymer–Protein Hybrids Polymer–protein hybrids provide a new route for protein stabilization in harsh environments. In article number 2201809, Michael A. Webb, Adam J. Gormley, and co-workers demonstrate strategy combining automated polymer synthesis machine learning to design copolymers tailored enhance the stability of target proteins. This may overcome challenges accelerate development associated with utilizing proteins industrial medical applications.