Ontology highlight
ABSTRACT:
SUBMITTER: Yu H
PROVIDER: S-EPMC10713628 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Yu Han H Deng Huaxiang H He Jiahui J Keasling Jay D JD Luo Xiaozhou X
Nature communications 20231211 1
Prediction of enzyme kinetic parameters is essential for designing and optimizing enzymes for various biotechnological and industrial applications, but the limited performance of current prediction tools on diverse tasks hinders their practical applications. Here, we introduce UniKP, a unified framework based on pretrained language models for the prediction of enzyme kinetic parameters, including enzyme turnover number (k<sub>cat</sub>), Michaelis constant (K<sub>m</sub>), and catalytic efficien ...[more]