Approaching Optimal pH Enzyme Prediction with Large Language Models.

ABSTRACT: Enzymes are widely used in biotechnology due to their ability to catalyze chemical reactions: food making, laundry, pharmaceutics, textile, brewing─all these areas benefit from utilizing various enzymes. Proton concentration (pH) is one of the key factors that define the enzyme functioning and efficiency. Usually there is only a narrow range of pH values where the enzyme is active. This is a common problem in biotechnology to design an enzyme with optimal activity in a given pH range. A large part of this task can be completed in silico, by predicting the optimal pH of designed candidates. The success of such computational methods critically depends on the available data. In this study, we developed a language-model-based approach to predict the optimal pH range from the enzyme sequ

SUBMITTER: Zaretckii M 

PROVIDER: S-EPMC11421216 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature