A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability.

Furxhi, Irini; Willighagen, Egon; Evelo, Chris; Costa, Anna; Gardini, Davide; Ammar, Ammar

Furxhi, Irini; Willighagen, Egon; Evelo, Chris; Costa, Anna; Gardini, Davide; Ammar, Ammar.

Afiliação

Furxhi I; Transgero Limited, Cullinagh, Newcastle West, Co. Limerick, Ireland; Dept. of Accounting and Finance, Kemmy Business School, University of Limerick, V94PH93, Ireland. Electronic address: irini.furxhi@transgero.eu.
Willighagen E; Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, the Netherlands. Electronic address: egon.willighagen@maastrichtuniversity.nl.
Evelo C; Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, the Netherlands. Electronic address: chris.evelo@maastrichtuniversity.nl.
Costa A; National Research Council, Institute of Science, Technology and Sustainability for Ceramics, Faenza, Italy. Electronic address: anna.costa@istec.cnr.it.
Gardini D; National Research Council, Institute of Science, Technology and Sustainability for Ceramics, Faenza, Italy. Electronic address: davide.gardini@istec.cnr.it.
Ammar A; Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, the Netherlands. Electronic address: a.ammar@maastrichtuniversity.nl.

NanoImpact ; 31: 100475, 2023 07.

Article em En | MEDLINE | ID: mdl-37423508

Assuntos

Algoritmos; Relação Quantitativa Estrutura-Atividade; Reprodutibilidade dos Testes; Óxidos

Palavras-chave

FAIR; Machine learning;; NSDRA; Nanomaterials; QSAR

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Relação Quantitativa Estrutura-Atividade Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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