Karim2021 - CardioTox net: Ligand-based prediction of hERG blockade
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ABSTRACT: A robust predictor for hERG channel blockade based on an ensemble of five deep learning models. The authors have collected a dataset from public sources, such as BindingDB and ChEMBL on hERG blockers and non-blockers. The cut-off for hERG blockade was set at IC50
Model Type: Predictive machine learning model.
Model Relevance: Prediction of hERG blockade
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/eos2ta5
SUBMITTER:
Zainab Ashimiyu-Abdusalam
PROVIDER: MODEL2407180003 | BioModels | 2024-07-18
REPOSITORIES: BioModels
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