Stokes2020 - Antibiotics discovery using deep learning approach.

ABSTRACT:

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.

Model Type: Predictive machine learning model.
Model Relevance: Probability that a compound inhibits E.coli growth.
Model Encoded by: Miquel Duran-Frigola(Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam

Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/

ORGANISM(S): Homo sapiens

SUBMITTER: Zainab Ashimiyu-Abdusalam 

PROVIDER: MODEL2404080001 | biostudies-other |

SECONDARY ACCESSION(S): 32084340

REPOSITORIES: biostudies-other