Computational model for fetal skeletal defects potentially linked to disruption of retinoic acid signaling.

Pierro, Jocylin D; Ahir, Bhavesh K; Baker, Nancy C; Kleinstreuer, Nicole C; Xia, Menghang; Knudsen, Thomas B

Pierro, Jocylin D; Ahir, Bhavesh K; Baker, Nancy C; Kleinstreuer, Nicole C; Xia, Menghang; Knudsen, Thomas B.

Afiliación

Pierro JD; Center for Computational Toxicology and Exposure (CCTE), Computational Toxicology and Bioinformatics Branch (CTBB), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park, NC, United States.
Ahir BK; Eurofins Medical Device Testing, Lancaster, PA, United States.
Baker NC; Scientific Computing and Data Curation Division (SCDCD), Leidos Contractor, Center for Computational Toxicology and Exposure (CCTE), USEPA/ORD, Research Triangle Park, NC, United States.
Kleinstreuer NC; Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM), National Toxicology Program, National Institutes of Health, Research Triangle Park, NC, United States.
Xia M; Division for Pre-Clinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, United States.
Knudsen TB; Center for Computational Toxicology and Exposure (CCTE), Computational Toxicology and Bioinformatics Branch (CTBB), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park, NC, United States.

Front Pharmacol ; 13: 971296, 2022.

Article en En | MEDLINE | ID: mdl-36172177

Palabras clave

New Approach Methods; ToxCast/Tox21; developmental toxicity; retinoic acid; skeletal defects

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Pharmacol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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