Dataset Information
Wong2024 - Cytotoxicity Prediction from Human Cell Lines
Ontology highlight
ABSTRACT:
SUBMITTER: 
Zainab Ashimiyu-Abdusalam
PROVIDER: MODEL2405130002 | BioModels | 2024-05-13
REPOSITORIES: BioModels
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MODEL2405130002?filename=BioModelsMetadata%20-%20eos42ez.csv | Csv |
Items per page: 1 - 1 of 1 |
Publications
Discovery of a structural class of antibiotics with explainable deep learning.
Nature 20231220 7997
The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing antibiotic resistance crisis<sup>1-9</sup>. Deep learning approaches have aided in exploring chemical spaces<sup>1,10-15</sup>; these typically use black box models and do not provide chemical insights. Here we reasoned that the chemical substructures associated with antibiotic activity learned by neural network models can be identified and used to predict structural classes of antibiotics. We test ...[more]
