biostudies-otherUnknown180Zainab Ashimiyu-AbdusalamCell688-702.e13Homo sapienshttps://www.ebi.ac.uk/biostudies/studies/MODEL2404080001biostudies-other32084340Zainab Ashimiyu-AbdusalamfalseStokes2020 - Antibiotics discovery using deep learning approach.<p>Based on a simple E.coli growth inhibition assay, the authors trained a model capable of identifying antibiotic potential in compounds structurally divergent from conventional antibiotic drugs. One of the predicted active molecules, Halicin (SU3327), was experimentally validated in vitro and in vivo.</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Probability that a compound inhibits E.coli growth.<br><normal>Model Encoded by:</normal> Miquel Duran-Frigola(Ersilia)<br><normal>Metadata Submitted in BioModels by:</normal> Zainab Ashimiyu-Abdusalam</p><p>Implementation of this model code by <a href="https://ersilia.io/">Ersilia</a> is available here: <br><a href="https://github.com/ersilia-os/eos4e40">https://github.com/ersilia-os/eos4e40</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-04-08T00:00:00Z2025-07-14T17:03:09.012Z2025-03-31T13:25:12.555ZMODEL2404080001000034800023050700004STATO:0000274STATO:000003132084340NCIT:C52588NCIT:C1907NCIT:C16309NCIT:C19146NCIT:C176258NCIT:C17429NCIT:C19148C45329C154407topic_3336topic_0154topic_3474CHEMINF:00001856296060005741scikit-learnchempropeos4e40