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The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models.
Danieli, Alberto; Colombo, Erika; Raitano, Giuseppa; Lombardo, Anna; Roncaglioni, Alessandra; Manganaro, Alberto; Sommovigo, Alessio; Carnesecchi, Edoardo; Dorne, Jean-Lou C M; Benfenati, Emilio.
Afiliación
  • Danieli A; Department of Biotechnology and Life Science, University of Insubria, Via Dunant 3, 21100 Varese, Italy.
  • Colombo E; Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCSS, 20156 Milano, Italy.
  • Raitano G; Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCSS, 20156 Milano, Italy.
  • Lombardo A; Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCSS, 20156 Milano, Italy.
  • Roncaglioni A; Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCSS, 20156 Milano, Italy.
  • Manganaro A; KODE Srl, Via Nino Pisano 14, 56122 Pisa, Italy.
  • Sommovigo A; KODE Srl, Via Nino Pisano 14, 56122 Pisa, Italy.
  • Carnesecchi E; European Food Safety Authority (EFSA), Via Carlo Magno 1A, 43126 Parma, Italy.
  • Dorne JCM; European Food Safety Authority (EFSA), Via Carlo Magno 1A, 43126 Parma, Italy.
  • Benfenati E; Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCSS, 20156 Milano, Italy.
Int J Mol Sci ; 24(12)2023 Jun 08.
Article en En | MEDLINE | ID: mdl-37373049
ABSTRACT
A sound assessment of in silico models and their applicability domain can support the use of new approach methodologies (NAMs) in chemical risk assessment and requires increasing the users' confidence in this approach. Several approaches have been proposed to evaluate the applicability domain of such models, but their prediction power still needs a thorough assessment. In this context, the VEGA tool capable of assessing the applicability domain of in silico models is examined for a range of toxicological endpoints. The VEGA tool evaluates chemical structures and other features related to the predicted endpoints and is efficient in measuring applicability domain, enabling the user to identify less accurate predictions. This is demonstrated with many models addressing different endpoints, towards toxicity of relevance to human health, ecotoxicological endpoints, environmental fate, physicochemical and toxicokinetic properties, for both regression models and classifiers.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecotoxicología Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecotoxicología Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: Italia