Ontology highlight
ABSTRACT:
SUBMITTER: Zainab Ashimiyu-Abdusalam
PROVIDER: MODEL2405080006 | BioModels | 2024-05-08
REPOSITORIES: BioModels
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MODEL2405080006?filename=BioModelsMetadata%20-%20eos9f6t.csv | Csv |
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Stokes Jonathan M JM Yang Kevin K Swanson Kyle K Jin Wengong W Cubillos-Ruiz Andres A Donghia Nina M NM MacNair Craig R CR French Shawn S Carfrae Lindsey A LA Bloom-Ackermann Zohar Z Tran Victoria M VM Chiappino-Pepe Anush A Badran Ahmed H AH Andrews Ian W IW Chory Emma J EJ Church George M GM Brown Eric D ED Jaakkola Tommi S TS Barzilay Regina R Collins James J JJ
Cell 20200201 4
Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity. We performed predictions on multiple chemical libraries and discovered a molecule from the Drug Repurposing Hub-halicin-that is structurally divergent from conventional antibiotics and displays bactericidal activity against a wide phylogenetic spectrum of pathogens ...[more]