Descriptor-augmented machine learning for enzyme-chemical interaction predictions-Reference-Cited by-同舟云学术

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Descriptor-augmented machine learning for enzyme-chemical interaction predictions

Published:2024-06 Issue:2 Volume:9 Page:259-268
ISSN:2405-805X
Container-title:Synthetic and Systems Biotechnology
language:en
Short-container-title:Synthetic and Systems Biotechnology

Author:

Han Yilei^ORCID,Zhang Haoye^ORCID,Zeng Zheni,Liu Zhiyuan,Lu Diannan^ORCID,Liu Zheng

Publisher

Elsevier BV

Reference48 articles.

1. Scalable continuous evolution for the generation of diverse enzyme variants encompassing promiscuous activities;Rix;Nat Commun,2020

2. Exploration of enzyme diversity: high-throughput techniques for protein production and microscale biochemical characterization;Vasina;Methods Enzymol,2020

3. Protein engineers turned evolutionists—the quest for the optimal starting point;Trudeau;Curr Opin Biotechnol,2019

4. Standards for Reporting Enzyme Data: the STRENDA Consortium: what it aims to do and why it should be helpful;Tipton;Perspectives in Science,2014

5. Mapping enzyme-substrate interactions: its potential to study the mechanism of enzymes;Roda;Advances in Protein Chemistry and Structural Biology,2020

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