Vienna LiverTox Workspace-A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory Agencies.

Montanari, Floriane; Knasmüller, Bernhard; Kohlbacher, Stefan; Hillisch, Christoph; Baierová, Christine; Grandits, Melanie; Ecker, Gerhard F

Montanari, Floriane; Knasmüller, Bernhard; Kohlbacher, Stefan; Hillisch, Christoph; Baierová, Christine; Grandits, Melanie; Ecker, Gerhard F.

Afiliação

Montanari F; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Knasmüller B; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Kohlbacher S; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Hillisch C; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Baierová C; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Grandits M; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Ecker GF; Pharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.

Front Chem ; 7: 899, 2019.

Article em En | MEDLINE | ID: mdl-31998690

Palavras-chave

ABC-transporter; OATP-transporter; Vienna LiverTox Workspace; classification models; machine learning; toxicity; web service

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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