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

摘要

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 a strategy combining automated polymer synthesis and machine learning to design copolymers tailored to enhance the stability of target proteins. This strategy may overcome challenges and accelerate development associated with utilizing proteins in industrial and medical applications.