• Title of article

    A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH

  • Author/Authors

    Nendza، نويسنده , , Monika and Gabbert، نويسنده , , Silke and Kühne، نويسنده , , Ralph and Lombardo، نويسنده , , Anna and Roncaglioni، نويسنده , , Alessandra and Benfenati، نويسنده , , Emilio and Benigni، نويسنده , , Romualdo and Bossa، نويسنده , , Cecilia and Strempel، نويسنده , , Sebastian and Scheringer، نويسنده , , Martin and Fernلndez، نويسنده , , Alberto and Rallo، نويسنده , , Robert and Giralt، نويسنده , , Francesc and Dimitrov، نويسنده , , Sabcho and Mekenyan، نويسنده , , Ovanes and Bringezu، نويسنده , , Frank and Schüürmann، نويسنده , , Gerrit، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    14
  • From page
    301
  • To page
    314
  • Abstract
    This paper presents an inventory of in silico screening tools to identify substance properties of concern under the European chemicals’ legislation REACH. The objective is to support the selection and implementation of appropriate tools as building blocks within integrated testing strategies (ITS). The relevant concerns addressed are persistence, bioaccumulation potential, acute and long-term aquatic toxicity, PBT/vPvB properties ((very) persistent, (very) bioaccumulative, toxic), CMR (carcinogenicity, mutagenicity, reproductive toxicity), endocrine disruption and skin sensitisation. The inventory offers a comparative evaluation of methods with respect to the underlying algorithms (how does the method work?) and the applicability domains (when does the method work?) as well as their limitations (when does the method not work?). The inventory explicitly addresses the reliability of predictions of different in silico models for diverse chemicals by applicability domain considerations. The confidence in predictions can be greatly improved by consensus modelling that allows for taking conflicting results into account. The inventory is complemented by a brief discussion of socio-economic tools for assessing the potential efficiency gains of using in silico methods compared to traditional in vivo testing of chemical hazards.
  • Keywords
    QSARs , CMR , Structural alerts , cost-efficiency , endocrine disruption , PBT , Read-across , Skin sensitisation , Applicability domain , consensus
  • Journal title
    Regulatory Toxicology and Pharmacology
  • Serial Year
    2013
  • Journal title
    Regulatory Toxicology and Pharmacology
  • Record number

    1491779