TIMES-SS--recent refinements resulting from an industrial skin sensitisation consortium

SAR QSAR Environ Res. 2014;25(5):367-91. doi: 10.1080/1062936X.2014.900520. Epub 2014 May 1.

Abstract

The TImes MEtabolism Simulator platform for predicting Skin Sensitisation (TIMES-SS) is a hybrid expert system, first developed at Bourgas University using funding and data from a consortium of industry and regulators. TIMES-SS encodes structure-toxicity and structure-skin metabolism relationships through a number of transformations, some of which are underpinned by mechanistic 3D QSARs. The model estimates semi-quantitative skin sensitisation potency classes and has been developed with the aim of minimising animal testing, and also to be scientifically valid in accordance with the OECD principles for (Q)SAR validation. In 2007 an external validation exercise was undertaken to fully address these principles. In 2010, a new industry consortium was established to coordinate research efforts in three specific areas: refinement of abiotic reactions in the skin (namely autoxidation) in the skin, refinement of the manner in which chemical reactivity was captured in terms of structure-toxicity rules (inclusion of alert reliability parameters) and defining the domain based on the underlying experimental data (study of discrepancies between local lymph node assay Local Lymph Node Assay (LLNA) and Guinea Pig Maximisation Test (GPMT)). The present paper summarises the progress of these activities and explains how the insights derived have been translated into refinements, resulting in increased confidence and transparency in the robustness of the TIMES-SS predictions.

Keywords: (Q)SAR; TIMES-SS; expert system; skin sensitisation.

MeSH terms

  • Animal Testing Alternatives / methods*
  • Animals
  • Dermatitis, Contact / metabolism*
  • Expert Systems
  • Guinea Pigs
  • Local Lymph Node Assay
  • Quantitative Structure-Activity Relationship*
  • Risk Assessment / methods
  • Skin / metabolism*
  • Skin Tests