4.8 Article

ProTox: a web server for the in silico prediction of rodent oral toxicity

Journal

NUCLEIC ACIDS RESEARCH
Volume 42, Issue W1, Pages W53-W58

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gku401

Keywords

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Funding

  1. German Jose Carreras Leukaemia Foundation [DJCLS R 12/05]
  2. German Cancer Consortium (DKTK)
  3. European Union [242167]
  4. Berlin-Brandenburg research platform BB3R (BMBF) [031A262C]
  5. Innovative Toxicology for the Reduction of Animal Experimentation (e:ToP)
  6. Immunotox project (BMBF) [031A268B]
  7. German Research Foundation (DFG) [GRK1772, GRK1360]
  8. SYNSYS [242167]
  9. research training group Computational Systems Biology [GRK1772]

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Animal trials are currently the major method for determining the possible toxic effects of drug candidates and cosmetics. In silico prediction methods represent an alternative approach and aim to rationalize the preclinical drug development, thus enabling the reduction of the associated time, costs and animal experiments. Here, we present ProTox, a web server for the prediction of rodent oral toxicity. The prediction method is based on the analysis of the similarity of compounds with known median lethal doses (LD50) and incorporates the identification of toxic fragments, therefore representing a novel approach in toxicity prediction. In addition, the web server includes an indication of possible toxicity targets which is based on an in-house collection of protein-ligand-based pharmacophore models ('toxicophores') for targets associated with adverse drug reactions. The ProTox web server is open to all users and can be accessed without registration at: http://tox.charite.de/tox. The only requirement for the prediction is the two-dimensional structure of the input compounds. All ProTox methods have been evaluated based on a diverse external validation set and displayed strong performance (sensitivity, specificity and precision of 76, 95 and 75%, respectively) and superiority over other toxicity prediction tools, indicating their possible applicability for other compound classes.

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