Enhancing Machine-Learning Prediction of Enzyme Catalytic Temperature Optima through Amino Acid Conservation Analysis.

ABSTRACT: Enzymes play a crucial role in various industrial production and pharmaceutical developments, serving as catalysts for numerous biochemical reactions. Determining the optimal catalytic temperature (T_opt) of enzymes is crucial for optimizing reaction conditions, enhancing catalytic efficiency, and accelerating the industrial processes. However, due to the limited availability of experimentally determined T_opt data and the insufficient accuracy of existing computational methods in predicting T_opt, there is an urgent need for a computational approach to predict the T_opt values of enzymes accurately. In this study, using phosphatase (EC 3.1.3.X) as an example, we constructed a machine learning model utilizing amino acid fr

SUBMITTER: Cao Y 

PROVIDER: S-EPMC11173260 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature