ivanovaml/

CHOP_inhibitors_molecular_features

The CHOP_inhibitors_molecular_features is a part of the study "Predicting Nanoparticle Effects on Small Biomolecule Functionalities Using the Capability of Scikit-learn and PyTorch: A Case Study on Inhibitors of the DNA Damage-Inducible Transcript 3 (CHOP)" https://doi.org/10.48550/arXiv.2504.09537 This dataset contains 19,504 rows, each representing a unique small molecule sample. Of these, 7,909 are CHOP inhibitors and 11,592 are not CHOP inhibitors. It includes 8 columns, which are… See the full description on the dataset page: https://huggingface.co/datasets/ivanovaml/CHOP_inhibitors_molecular_features.