Articles producció científicaEnginyeria Química

Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology

  • Datos identificativos

    Identificador:  imarina:5131915
    Autores:  Puzyn, T; Jeliazkova, N; Sarimveis, H; Robinson, RLM; Lobaskin, V; Rallo, R; Richarz, AN; Gajewicz, A; Papadopulos, MG; Hastings, J; Cronin, MTD; Benfenati, E; Fernández, A
    Resumen:
    Nanotechnology and the production of nanomaterials have been expanding rapidly in recent years. Since many types of engineered nanoparticles are suspected to be toxic to living organisms and to have a negative impact on the environment, the process of designing new nanoparticles and their applications must be accompanied by a thorough risk analysis. (Quantitative) Structure-Activity Relationship ([Q]SAR) modelling creates promising options among the available methods for the risk assessment. These in silico models can be used to predict a variety of properties, including the toxicity of newly designed nanoparticles. However, (Q)SAR models must be appropriately validated to ensure the clarity, consistency and reliability of predictions. This paper is a joint initiative from recently completed European research projects focused on developing (Q)SAR methodology for nanomaterials. The aim was to interpret and expand the guidance for the well-known "OECD Principles for the Validation, for Regulatory Purposes, of (Q)SAR Models", with reference to nano-(Q)SAR, and present our opinions on the criteria to be fulfilled for models developed for nanoparticles.
  • Otros:

    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0278691517305562
    Referencia de l'ítem segons les normes APA: Puzyn, T; Jeliazkova, N; Sarimveis, H; Robinson, RLM; Lobaskin, V; Rallo, R; Richarz, AN; Gajewicz, A; Papadopulos, MG; Hastings, J; Cronin, MTD; Benf (2018). Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology. FOOD AND CHEMICAL TOXICOLOGY, 112(), 478-494. DOI: 10.1016/j.fct.2017.09.037
    Referencia al articulo segun fuente origial: FOOD AND CHEMICAL TOXICOLOGY. 112 478-494
    DOI del artículo: 10.1016/j.fct.2017.09.037
    Año de publicación de la revista: 2018-02-01
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Fecha de alta del registro: 2026-05-02
    Autor/es de la URV: Fernández Sabater, Alberto / Rallo Moyá, Roberto Jesús
    Departamento: Enginyeria Informàtica i Matemàtiques, Enginyeria Química
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    ISSN: 02786915
    Autor según el artículo: Puzyn, T; Jeliazkova, N; Sarimveis, H; Robinson, RLM; Lobaskin, V; Rallo, R; Richarz, AN; Gajewicz, A; Papadopulos, MG; Hastings, J; Cronin, MTD; Benfenati, E; Fernández, A
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Toxicology, Saúde coletiva, Química, Odontología, Nutrição, Medicine (miscellaneous), Medicina veterinaria, Medicina iii, Medicina ii, Medicina i, Materiais, Interdisciplinar, Food science & technology, Food science, Farmacia, Ensino, Engenharias iv, Engenharias ii, Enfermagem, Educação física, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências ambientais, Ciências agrárias i, Ciência de alimentos, Biotecnología, Biodiversidade, Astronomia / física
    Direcció de correo del autor: alberto.fernandez@urv.cat, alberto.fernandez@urv.cat
  • Palabras clave:

    Validation
    Risk-assessment
    Risk assessment
    Real external predictivity
    Quantitative structure-activity relationship
    Quantitative structure-activity
    Qsar models
    Qsar
    Qntr
    Qnar
    Oxidative stress
    Nanoparticles
    Nano-qsar
    Models
    chemical
    Metal-oxide nanoparticles
    Conformal prediction
    Confidence-intervals
    Computer simulation
    Biological-activity
    Applicability domain
    Food Science
    Food Science & Technology
    Medicine (Miscellaneous)
    Toxicology
    Saúde coletiva
    Química
    Odontología
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Interdisciplinar
    Farmacia
    Ensino
    Engenharias iv
    Engenharias ii
    Enfermagem
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Biodiversidade
    Astronomia / física
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