OGTFinder: A Curated Growth Temperature Data Set and Its Application To Predict Optimal Growth Temperatures of Bacteria and Archaea
of 0.84. The most important proteome features were related to backbone flexibility and charged residues, as well as surface accessibility. The MLP model is integrated in the command line tool OGTFinder and available under MIT license at: https://github.com/SC-Git1/OGTFinder.
Authors
- Vera van Noort (ORCID: https://orcid.org/0000-0002-8436-6602)
- Sophie Colette (ORCID: https://orcid.org/0009-0004-2193-3309)
- Jaldert François
- Bart De Moor
Institutions
- Leiden University (NL)
- Gene Therapy Laboratory (FR)
- Center for Systems Biology (US)
- Fresenius Kabi (Czechia) (CZ)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-04-13
- DOI
- https://doi.org/10.1021/acs.jcim.5c03033
- Primary Topic
- Bacterial Genetics and Biotechnology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agentschap Innoveren en Ondernemen
- Fonds Wetenschappelijk Onderzoek
- KU Leuven