Your browser doesn't support javascript.
loading
Identification of the potential TLR7 antagonists by virtual screening and experimental validation.
Ruan, Pinglang; Wang, Susu; Yi, Ping; Yang, Miao; Chen, Yongjian; Yang, Ming.
Afiliação
  • Ruan P; Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China.
  • Wang S; Department of Anesthesiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yi P; Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yang M; Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China.
  • Chen Y; Department of Dermatology, Hunan Provincial People's Hospital, Changsha, 410078, Hunan, China.
  • Yang M; Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China. yangming_0216@csu.edu.cn.
Mol Divers ; 2023 May 23.
Article em En | MEDLINE | ID: mdl-37217769
ABSTRACT
Toll-like receptor 7 (TLR7) is highly expressed in dendritic cells (DCs) and B cells, and its aberrant activation can promote disease progression in systemic lupus erythematosus (SLE). We utilized structure-based virtual screening and experimental validation to screen natural products from TargetMol for potential TLR7 antagonists. Our results of molecular docking and molecular dynamics simulation showed that Mogroside V (MV) strongly interacted with TLR7, with stable open-TLR7-MV and close-TLR7-MV complexes. Furthermore, in vitro experiments demonstrated that MV significantly inhibited B cell differentiation in a concentration-dependent manner. In addition to TLR7, we also revealed a strong interaction of MV with all TLRs, including TLR4. The above results suggested that MV might be a potential TLR7 antagonist deserving of further study.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article