Open Enzyme Database: a community-wide repository for sharing enzyme data

Enzymes are the molecular machines of life and play an indispensable role in numerous biotechnological and biomedical applications. Despite the availability of a few enzyme databases, their utility is often hindered by limitations such as infrequent updates, lack of standardization, and inadequate support for machine learning. In this study, we developed the Open Enzyme Database (OED), a community-wide repository and web-based infrastructure designed to facilitate the sharing and exploration of enzyme data. As a user-friendly platform, the first release of the OED provides extensively curated information on enzyme kinetic parameters, structural data, enzymatic reactions, assay conditions, and functional annotations. It also features cutting-edge artificial intelligence (AI) tools for enzyme property prediction, along with cheminformatics-powered algorithms for the identification of promising enzymes. This database should greatly accelerate research and applications in areas such as biocatalysis, systems biology, synthetic biology, and enzyme engineering, as well as AI. The resource is freely available at https://openenzymedb.platform.moleculemaker.org/.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-10-03
DOI
https://doi.org/10.1093/nar/gkaf1082
Citations
3
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
2.42

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article

Open Enzyme Database: a community-wide repository for sharing enzyme data

Bo Guo, Huimin Zhao, Christopher D. Pond, Le Yuan et al.
3 citations
Nucleic Acids Research
Microbial Metabolic Engineering and Bioproduction
2.42
article

Open Enzyme Database: a community-wide repository for sharing enzyme data

Bo Guo, Huimin Zhao, Christopher D. Pond, Le Yuan, David Bianchi, Matthew J. Berry, Mike I. Lambert, Cathy Stephens, Katherine Arneson, Yash H Wasnik
article en
3 citations

Abstract

Enzymes are the molecular machines of life and play an indispensable role in numerous biotechnological and biomedical applications. Despite the availability of a few enzyme databases, their utility is often hindered by limitations such as infrequent updates, lack of standardization, and inadequate support for machine learning. In this study, we developed the Open Enzyme Database (OED), a community-wide repository and web-based infrastructure designed to facilitate the sharing and exploration of enzyme data. As a user-friendly platform, the first release of the OED provides extensively curated information on enzyme kinetic parameters, structural data, enzymatic reactions, assay conditions, and functional annotations. It also features cutting-edge artificial intelligence (AI) tools for enzyme property prediction, along with cheminformatics-powered algorithms for the identification of promising enzymes. This database should greatly accelerate research and applications in areas such as biocatalysis, systems biology, synthetic biology, and enzyme engineering, as well as AI. The resource is freely available at https://openenzymedb.platform.moleculemaker.org/.

Nucleic Acids ResearchVol. 54(D1)
University of Illinois Urbana-Champaign (US), National Center for Supercomputing Applications (US)
National Science Foundation, Vanderbilt University, Office of International Science and Engineering
Openalex Percentile: Top 10%
Microbial Metabolic Engineering and Bioproduction
2.42
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