Deep learning allows genome-scale prediction of Michaelis constants from structural features

• Alexander Kroll,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany

  https://orcid.org/0000-0001-8670-7039

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• Martin K. M. Engqvist,

  Roles Software, Writing – review & editing

  Affiliation Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden

  https://orcid.org/0000-0003-2174-2225

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• David Heckmann ,

  Roles Conceptualization, Methodology, Writing – review & editing

  * E-mail: david.heckmann@hhu.de (DH); martin.lercher@hhu.de (MJL)

  Affiliation Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany

  https://orcid.org/0000-0003-1422-1712

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• Martin J. Lercher

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  * E-mail: david.heckmann@hhu.de (DH); martin.lercher@hhu.de (MJL)

  Affiliation Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany

  https://orcid.org/0000-0003-3940-1621

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