ProTox 3.0: a webserver for the prediction of toxicity of chemicals.

Journal: Nucleic acids research
Published Date:

Abstract

Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral part of our everyday life. However, depending on the amount and duration, such interactions can also result in adverse effects. With the increase in computational methods, the in silico methods can offer significant benefits to both regulatory needs and requirements for risk assessments and the pharmaceutical industry to assess the safety profile of a chemical. Here, we present ProTox 3.0, which incorporates molecular similarity and machine-learning models for the prediction of 61 toxicity endpoints such as acute toxicity, organ toxicity, clinical toxicity, molecular-initiating events (MOE), adverse outcomes (Tox21) pathways, several other toxicological endpoints and toxicity off-targets. All the ProTox 3.0 models are validated on independent external sets and have shown strong performance. ProTox envisages itself as a complete, freely available computational platform for in silico toxicity prediction for toxicologists, regulatory agencies, computational chemists, and medicinal chemists. The ProTox 3.0 webserver is free and open to all users, and there is no login requirement and can be accessed via https://tox.charite.de. The web server takes a 2D chemical structure as input and reports the toxicological profile of the compound for each endpoint with a confidence score and overall toxicity radar plot and network plot.

Authors

  • Priyanka Banerjee
    Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany ; Graduate School of Computational Systems Biology, Humboldt University of Berlin, Berlin, Germany.
  • Emanuel Kemmler
    Institute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.
  • Mathias Dunkel
    Institute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.
  • Robert Preissner
    Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany ; Structural Bioinformatics Group, Experimental and Clinical Research Center (ECRC), Charité - University Medicine Berlin, Berlin, Germany ; BB3R - Berlin Brandenburg 3R Graduate School, Free University of Berlin, Berlin, Germany.