Data-Driven Protein Engineering for Improving Catalytic Activity and Selectivity.

Abstract excerpt

Protein engineering is essential for altering the substrate scope, catalytic activity and selectivity of enzymes for applications in biocatalysis. However, traditional approaches, such as directed evolution and rational design, encounter the challenge in dealing with the experimental screening process of a large protein mutation space. Machine learning methods allow the approximation of protein fitness landscapes...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Biocatalysis
• Share to Catalysis
• Share to Enzymes