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Computational Network Pharmacology-Based Strategy to Capture Key Functional Components and Decode the Mechanism of Chai-Hu-Shu-Gan-San in Treating Depression.
Wang, Kexin; Li, Kai; Chen, Yupeng; Wei, Genxia; Yu, Hailang; Li, Yi; Meng, Wei; Wang, Handuo; Gao, Li; Lu, Aiping; Peng, Junxiang; Guan, Daogang.
Afiliação
  • Wang K; National Key Clinical Specialty/Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Neurosurgery Institute, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangzh
  • Li K; Institute of Integrated Bioinformedicine and Translational Science, Hong Kong Baptist University, Hong Kong, China.
  • Chen Y; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
  • Wei G; Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yu H; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
  • Li Y; Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Meng W; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
  • Wang H; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Gao L; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
  • Lu A; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
  • Peng J; Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
  • Guan D; Institute of Integrated Bioinformedicine and Translational Science, Hong Kong Baptist University, Hong Kong, China.
Front Pharmacol ; 12: 782060, 2021.
Article em En | MEDLINE | ID: mdl-34867413
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2021 Tipo de documento: Article