ASAP Discovery x OpenADMET CompetitionTake part in the first prospective benchmark on Polaris.

Dataset

Drug induced liver injury.

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

Status

Uncertified

This artifact has not been certified by approved reviewers. It may contain issues related to data quality.

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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