Nature Communications (Jan 2016)

Modelling the Tox21 10 K chemical profiles for in vivo toxicity prediction and mechanism characterization

  • Ruili Huang,
  • Menghang Xia,
  • Srilatha Sakamuru,
  • Jinghua Zhao,
  • Sampada A. Shahane,
  • Matias Attene-Ramos,
  • Tongan Zhao,
  • Christopher P. Austin,
  • Anton Simeonov

DOI
https://doi.org/10.1038/ncomms10425
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 10

Abstract

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Large-scale in vitro assays may reduce the number of toxicological tests carried out in animals. Here, Huang et al. report a large dataset containing results of in vitrotests of approximately 10,000 chemicals, and use these data to create models that can potentially predict toxicity in humans.