Development of an in Silico Profiler for Mitochondrial Toxicity

Chem Res Toxicol. 2015 Oct 19;28(10):1891-902. doi: 10.1021/acs.chemrestox.5b00275. Epub 2015 Sep 24.

Abstract

This study outlines the analysis of mitochondrial toxicity for a variety of pharmaceutical drugs extracted from Zhang et al. ((2009) Toxicol. In Vitro, 23, 134-140). These chemicals were grouped into categories based upon structural similarity. Subsequently, mechanistic analysis was undertaken for each category to identify the molecular initiating event driving mitochondrial toxicity. The mechanistic information elucidated during the analysis enabled mechanism-based structural alerts to be developed and combined together to form an in silico profiler. This profiler is envisaged to be used to develop chemical categories based upon similar mechanisms as part of the adverse outcome pathway paradigm. Additionally, the profiler could be utilized in screening large data sets in order to identify chemicals with the potential to induce mitochondrial toxicity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anesthetics / chemistry
  • Anesthetics / toxicity
  • Anti-Infective Agents / chemistry
  • Anti-Infective Agents / toxicity
  • Anti-Inflammatory Agents, Non-Steroidal / chemistry
  • Anti-Inflammatory Agents, Non-Steroidal / toxicity
  • Bile Acids and Salts / chemistry
  • Bile Acids and Salts / toxicity
  • Databases, Chemical*
  • Humans
  • Hypoglycemic Agents / chemistry
  • Hypoglycemic Agents / toxicity
  • Mitochondria / drug effects*
  • Mitochondria / metabolism
  • Neurotransmitter Agents / chemistry
  • Neurotransmitter Agents / toxicity
  • Quantitative Structure-Activity Relationship
  • Software

Substances

  • Anesthetics
  • Anti-Infective Agents
  • Anti-Inflammatory Agents, Non-Steroidal
  • Bile Acids and Salts
  • Hypoglycemic Agents
  • Neurotransmitter Agents