A Computational Method to Predict Effects of Residue Mutations on the Catalytic Efficiency of Hydrolases

A Computational Method to Predict Effects of Residue Mutations on the Catalytic Efficiency of Hydrolases

With scientific and technological advances, growing research has focused on engineering enzymes that acquire enhanced efficiency and activity. Thereinto, computer-based enzyme modification makes up for the time-consuming and labor-intensive experimental methods and plays a significant role. In this...

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Bibliographic Details
Main Authors: Yun Li, Kun Song, Jian Zhang, Shaoyong Lu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Catalysts
Subjects:
enzyme engineering
hydrolases
residue mutation
machine learning
Online Access:https://www.mdpi.com/2073-4344/11/2/286

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