Guidelines for Method ComparisonRead the first pre-print from the Small Molecule Steering Committee

This dataset has not yet been certified by approved reviewers. It may contain issues related to data completeness and quality.

Dataset

Drug induced liver injury.

Created on: July 22, 2024Dataset size: 17 KBNumber of datapoints: 475
Public

Tags

TOX

Modalities

MOLECULE

Related benchmarks

2024-07-22

Details

README

Background

Drug-induced liver injury (DILI) is fatal liver disease caused by drugs and it has been the single most frequent cause of safety-related drug marketing withdrawals for the past 50 years (e.g. iproniazid, ticrynafen, benoxaprofen). This dataset is aggregated from U.S. FDA’s National Center for Toxicological Research.

Description of readout

Task Description: Binary classification. Given a drug SMILES string, predict whether it can cause liver injury (1) or not (0).

Data resource

Reference: [1] Deep Learning for Drug-Induced Liver Injury