{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T11:52:21Z","timestamp":1783511541800,"version":"3.55.0"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union's Horizon 2020","award":["686070"],"award-info":[{"award-number":["686070"]}]},{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Foundation","doi-asserted-by":"publisher","award":["NNF10CC1016517"],"award-info":[{"award-number":["NNF10CC1016517"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004063","name":"Knut and Alice Wallenberg Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004063","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002835","name":"Chalmers University of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002835","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Enzyme parameters are essential for quantitatively understanding, modelling, and engineering cells. However, experimental measurements cover only a small fraction of known enzyme-compound pairs in model organisms, much less in other organisms. Artificial intelligence (AI) techniques have accelerated the pace of exploring enzyme properties by predicting these in a high-throughput manner. Here, we present GotEnzymes, an extensive database with enzyme parameter predictions by AI approaches, which is publicly available at https:\/\/metabolicatlas.org\/gotenzymes for interactive web exploration and programmatic access. The first release of this data resource contains predicted turnover numbers of over 25.7 million enzyme-compound pairs across 8099 organisms. We believe that GotEnzymes, with the readily-predicted enzyme parameters, would bring a speed boost to biological research covering both experimental and computational fields that involve working with candidate enzymes.<\/jats:p>","DOI":"10.1093\/nar\/gkac831","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T12:15:27Z","timestamp":1664367327000},"page":"D583-D586","source":"Crossref","is-referenced-by-count":72,"title":["GotEnzymes: an extensive database of enzyme parameter predictions"],"prefix":"10.1093","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9155-5260","authenticated-orcid":false,"given":"Feiran","family":"Li","sequence":"first","affiliation":[{"name":"Department of Biology and Biological Engineering, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"},{"name":"Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3326-9068","authenticated-orcid":false,"given":"Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biology and Biological Engineering, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"},{"name":"Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihail","family":"Anton","sequence":"additional","affiliation":[{"name":"Department of Biology and Biological Engineering, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"},{"name":"Department of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9955-6003","authenticated-orcid":false,"given":"Jens","family":"Nielsen","sequence":"additional","affiliation":[{"name":"Department of Biology and Biological Engineering, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"},{"name":"Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology , Gothenburg \u00a0SE-412 96, Sweden"},{"name":"BioInnovation Institute , Ole Maal\u00f8es Vej 3 , Copenhagen \u00a0DK-2200, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"2023010804290063000_B1","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.copbio.2020.12.003","article-title":"Enzymes in biotechnology: critical platform technologies for bioprocess development","volume":"69","author":"Katsimpouras","year":"2021","journal-title":"Curr. 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