李燕

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:化工学院

电子邮箱:yanli@dlut.edu.cn

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Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT2A Receptor by In Silico Methods

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论文类型:期刊论文

发表时间:2017-07-01

发表刊物:MOLECULES

收录刊物:Scopus、SCIE、PubMed

卷号:22

期号:7

ISSN号:1420-3049

关键字:depression; 5-HT2A receptor; arylpiperazine derivative; 3D-QSAR; molecular docking; molecular dynamics

摘要:As a G-protein coupled receptor, the 5-hydroxytryptamine 2A (5-HT2A) receptor is known for its critical role in the cognitive, behavioural and physiological functions, and thus is a primary molecular target to treat psychiatric diseases, including especially depression. With purpose to explore the structural traits affecting the inhibitory activity, currently a dataset of 109 arylpiperazine derivatives as promising 5-HT2A antagonists was built, based on which the ligand-based three-dimensional quantitative structure-activity relationship (3D-QSAR) study by using both comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) approaches was carried out. The resultant optimal CoMSIA model displays proper validity and predictability with cross-validated correlation coefficient Q(2) = 0.587, non-cross-validated correlation coefficient R-ncv(2) = 0.900 and predicted correlation coefficient for the test set of compounds R-pre(2) = 0.897, respectively. Besides, molecular docking was also conducted to investigate the binding mode between these ligands and the active site of the 5-HT2A receptor. Meanwhile, as a docking supplementary tool to study the antagonists' conformation in the binding cavity, molecular dynamics (MD) simulation was also performed, providing further elucidation about the changes in the ligand-receptor complex. Lastly, some new molecules were also newly-designed based on the above results that are potential arylpiperazine antagonists of 5-HT2A receptor. We hope that the present models and derived information may be of help for facilitating the optimization and design of novel potent antagonists as antidepressant drugs as well as exploring the interaction mechanism of 5-HT2A antagonists.