jablonkagroup/herg_karim_et_al
Dataset Details Dataset Description A integrated Ether-à-go-go-related gene (hERG) dataset consisting of molecular structures labelled as hERG (<10uM) and non-hERG (>=10uM) blockers in the form of SMILES strings was obtained from the DeepHIT, the BindingDB database, ChEMBL bioactivity database, and other literature. Curated by: License: CC BY 4.0 Dataset Sources corresponding publication Data source Citation BibTeX:… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/herg_karim_et_al.
Dataset Details
Dataset Description
A integrated Ether-à-go-go-related gene (hERG) dataset consisting of molecular structures labelled as hERG (<10uM) and non-hERG (>=10uM) blockers in the form of SMILES strings was obtained from the DeepHIT, the BindingDB database, ChEMBL bioactivity database, and other literature.
- Curated by:
- License: CC BY 4.0
Dataset Sources
Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
BibTeX:
@article{Karim2021,
doi = {10.1186/s13321-021-00541-z},
url = {https://doi.org/10.1186/s13321-021-00541-z},
year = {2021},
month = aug,
publisher = {Springer Science and Business Media LLC},
volume = {13},
number = {1},
author = {Abdul Karim and Matthew Lee and Thomas Balle and Abdul Sattar},
title = {CardioTox net: a robust predictor for hERG channel blockade
based on deep learning meta-feature ensembles},
journal = {Journal of Cheminformatics}