頁籤選單縮合
題 名 | Chemoinformatics and Pharmacoinformatics Approach for Exploring the GABA-A Agonist from Chinese Herb Suanzaoren |
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作 者 | Chen, Calvin Yu-chian; | 書刊名 | Journal of the Taiwan Institute of Chemical Engineers |
卷 期 | 40:1 2009.01[民98.01] |
頁 次 | 頁36-47 |
分類號 | 460.02 |
關鍵詞 | GABA-A; Jujubogenin; Suanzaoren; Docking; Pharmacophore analysis; CoMFA; CoMSIA; QSAR; |
語 文 | 英文(English) |
英文摘要 | Abstract This study is the first one to construct the reliable structure of the α1/γ2 interface of Gamma aminobutyric acid type A (GABA-A) receptor by homology modeling and refined every loop of the whole protein structure. The modeling GABA-A receptor was validated by docking the control compounds in binding site, checking the key residue in α1/γ2 interface, probability density function (PDF) value, and Ramachandran plot. This paper is also the first one to propose that jujubogenin is the effective component in suanzaoren decoction, neither jujuboside A nor jujuboside B by chemoinformatics and pharmacoinformatics approach. In addition, pharmacophore analysis showed that the oxygens on jujubogenin approached α1-TYR160 and γ2-LYS184, respectively. The comparative molecular field analysis (CoMFA) model yielded a value of 0.731 and an r2 of 0.942 at 5 components. Comparative molecular similarity indices analysis (CoMSIA) produced a of 0.617 and an r2 of 0.921 at 5 components. The CoMFA and CoMSIA models showed statistically significant results. Hence, based on the results of docking, ADMET descriptor, pharmacophore, and three-dimensional quantitative structure–activity relationship (3D-QSAR) studies, the jujubogenin was suggested to be the effective GABA-A agonist in suanzaoren decoction. |
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