GotEnzymes2: expanding coverage of enzyme kinetics and thermal properties

Enzyme kinetics are fundamental for understanding metabolism, yet experimentally measured parameters remain scarce. To address this gap, we introduce GotEnzymes2, a substantially expanded resource covering 10 765 species, 7.3 million enzymes, and 59.6 million unique entries. Compared with the first version, GotEnzymes2 now integrates both catalytic and thermal parameters, enabling unified predictions of kcat, Km,kcat/Km, optimal temperature, and melting temperature. This expansion markedly broadens species and enzyme coverage, creating the most comprehensive database of enzyme kinetic and stability parameters to date. To construct the resource, we systematically benchmarked state-of-the-art models for catalytic and thermal parameter prediction, and incorporated the best-performing strategies to ensure accuracy and generalizability. Altogether, GotEnzymes2 provides the community with a powerful resource for data-driven enzyme discovery, design, and engineering, with broad applications in systems biology, metabolic engineering, and synthetic biology. GotEnzymes2 is publicly accessible at https://metabolicatlas.org/gotenzymes.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-09-30
DOI
https://doi.org/10.1093/nar/gkaf1053
Citations
2
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
1.61

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article

GotEnzymes2: expanding coverage of enzyme kinetics and thermal properties

Aleksej Zelezniak, Danish Anwer, Sandra Viknander, Mihail Anton et al.
2 citations
Nucleic Acids Research
Microbial Metabolic Engineering and Bioproduction
1.61
article

GotEnzymes2: expanding coverage of enzyme kinetics and thermal properties

Aleksej Zelezniak, Danish Anwer, Sandra Viknander, Mihail Anton, Ke Wu, Yu Chen, Eduard J. Kerkhoven, Diannan Lu, Yuanyuan Huang, Feiran Li, Dan Gao, Yunfeng Yang, Xiongwen Li, B Lyu
article en
2 citations

Abstract

Enzyme kinetics are fundamental for understanding metabolism, yet experimentally measured parameters remain scarce. To address this gap, we introduce GotEnzymes2, a substantially expanded resource covering 10 765 species, 7.3 million enzymes, and 59.6 million unique entries. Compared with the first version, GotEnzymes2 now integrates both catalytic and thermal parameters, enabling unified predictions of kcat, Km,kcat/Km, optimal temperature, and melting temperature. This expansion markedly broadens species and enzyme coverage, creating the most comprehensive database of enzyme kinetic and stability parameters to date. To construct the resource, we systematically benchmarked state-of-the-art models for catalytic and thermal parameter prediction, and incorporated the best-performing strategies to ensure accuracy and generalizability. Altogether, GotEnzymes2 provides the community with a powerful resource for data-driven enzyme discovery, design, and engineering, with broad applications in systems biology, metabolic engineering, and synthetic biology. GotEnzymes2 is publicly accessible at https://metabolicatlas.org/gotenzymes.

Nucleic Acids ResearchVol. 54(D1)
Vilnius University (LT), King's College London (GB), Novo Nordisk Foundation (DK), Wellcome Sanger Institute (GB), University Town of Shenzhen (CN), Ministry of Education (ME), Tsinghua–Berkeley Shenzhen Institute (CN), Shenzhen Institutes of Advanced Technology (CN), Elixir Medical (United States) (US), Chalmers University of Technology (SE), Tsinghua University (CN)
National Natural Science Foundation of China, Svenska Forskningsrådet Formas, Vetenskapsrådet, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, Tsinghua Shenzhen International Graduate School
Openalex Percentile: Top 14%
Microbial Metabolic Engineering and Bioproduction
1.61
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