中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation

文献类型:期刊论文

作者Jiang,Xuan; Li,Shuxiang; Zhang,Hongbin; Wang,Liang-Liang
刊名COMPUTATIONAL BIOLOGY AND CHEMISTRY
出版日期2021
卷号90页码:107405
关键词mu-Opioid receptors (MOR) Biased ligands Molecular docking Hip-hop pharmacophore MD simulation
ISSN号1476-9271
DOI10.1016/j.compbiolchem.2020.107405
英文摘要Opioids are well known for their potent analgesic efficacy and severe side effects. Studies have shown that analgesic effects are mediated by the downstream G-protein-dependent pathway of the mu-opioid receptor (MOR), and another beta-arrestin-dependent pathway mediates side effects such as respiratory depression, constipation and tolerance etc. TRV130 is a biased ligand for G-protein-dependent pathway, which has high analgesia and has fewer side effects than morphine. In this study, the structure similarity search was performed on the IBSSC database using Oliceridine (TRV130) and PZM21 as templates. The 3D structure-based pharmacophore model was built and combined molecular docking prediction mode was selected to filter out small molecules, Finally, based on affinity prediction, four candidate molecules were obtained. Molecular dynamics simulations explored the detailed interaction mechanism of proteins with small molecules under dynamics. These results suggest that these candidate molecules are potential MOR agonists.
WOS记录号WOS:000615164600002
源URL[http://ir.kib.ac.cn/handle/151853/73081]  
专题中国科学院昆明植物研究所
作者单位1.Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming 650201, Yunnan, Peoples R China
2.Yunnan Univ, Sch Chem Sci & Technol, Minist Educ, Key Lab Med Chem Nat Resource, Kunming 650091, Yunnan, Peoples R China
推荐引用方式
GB/T 7714
Jiang,Xuan,Li,Shuxiang,Zhang,Hongbin,et al. Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation[J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY,2021,90:107405.
APA Jiang,Xuan,Li,Shuxiang,Zhang,Hongbin,&Wang,Liang-Liang.(2021).Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation.COMPUTATIONAL BIOLOGY AND CHEMISTRY,90,107405.
MLA Jiang,Xuan,et al."Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation".COMPUTATIONAL BIOLOGY AND CHEMISTRY 90(2021):107405.

入库方式: OAI收割

来源:昆明植物研究所

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