Structure-Activity Relationship (SAR) Model for Predicting Teratogenic Risk of Antiseizure Medications in Pregnancy by Using Support Vector Machine.

Kang, Liyuan; Duan, Yifei; Chen, Cheng; Li, Shihai; Li, Menglong; Chen, Lei; Wen, Zhining

Kang, Liyuan; Duan, Yifei; Chen, Cheng; Li, Shihai; Li, Menglong; Chen, Lei; Wen, Zhining.

Afiliación

Kang L; College of Chemistry, Sichuan University, Chengdu, China.
Duan Y; Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Chen C; College of Chemistry, Sichuan University, Chengdu, China.
Li S; College of Chemistry, Sichuan University, Chengdu, China.
Li M; College of Chemistry, Sichuan University, Chengdu, China.
Chen L; Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Wen Z; College of Chemistry, Sichuan University, Chengdu, China.

Front Pharmacol ; 13: 747935, 2022.

Article en En | MEDLINE | ID: mdl-35281912

Palabras clave

antiseizure medications; drug safety evaluation; drug-induced teratogenesis; machine learning; structure-activity relationship

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Año: 2022 Tipo del documento: Article País de afiliación: China

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