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Discovery of novel DprE1 inhibitors via computational bioactivity fingerprints and structure-based virtual screening.
Hu, Xue-Ping; Yang, Liu; Chai, Xin; Lei, Yi-Xuan; Alam, Md Shah; Liu, Lu; Shen, Chao; Jiang, De-Jun; Wang, Zhe; Liu, Zhi-Yong; Xu, Lei; Wan, Kang-Lin; Zhang, Tian-Yu; Yin, Yue-Lan; Li, Dan; Cao, Dong-Sheng; Hou, Ting-Jun.
Afiliação
  • Hu XP; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Yang L; State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China.
  • Chai X; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Lei YX; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Alam MS; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Liu L; State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
  • Shen C; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Jiang DJ; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China.
  • Wang Z; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Liu ZY; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Xu L; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Wan KL; State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
  • Zhang TY; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Yin YL; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
  • Li D; State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
  • Cao DS; State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
  • Hou TJ; University of Chinese Academy of Sciences, Beijing, 100049, China.
Acta Pharmacol Sin ; 43(6): 1605-1615, 2022 Jun.
Article em En | MEDLINE | ID: mdl-34667293
ABSTRACT
Decaprenylphosphoryl-ß-D-ribose oxidase (DprE1) plays important roles in the biosynthesis of mycobacterium cell wall. DprE1 inhibitors have shown great potentials in the development of new regimens for tuberculosis (TB) treatment. In this study, an integrated molecular modeling strategy, which combined computational bioactivity fingerprints and structure-based virtual screening, was employed to identify potential DprE1 inhibitors. Two lead compounds (B2 and H3) that could inhibit DprE1 and thus kill Mycobacterium smegmatis in vitro were identified. Moreover, compound H3 showed potent inhibitory activity against Mycobacterium tuberculosis in vitro (MICMtb = 1.25 µM) and low cytotoxicity against mouse embryo fibroblast NIH-3T3 cells. Our research provided an effective strategy to discover novel anti-TB lead compounds.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mycobacterium tuberculosis / Antituberculosos Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mycobacterium tuberculosis / Antituberculosos Idioma: En Ano de publicação: 2022 Tipo de documento: Article