In Silico Identification of Potent Pancreatic Triacylglycerol Lipase Inhibitors from Traditional Chinese Medicine

被引:20
|
作者
Chen, Kuan-Yu [1 ,2 ]
Chang, Su-Sen [2 ,3 ]
Chen, Calvin Yu-Chian [2 ,3 ,4 ,5 ,6 ]
机构
[1] China Med Univ, Dept Chinese Med, Taichung, Taiwan
[2] China Med Univ, Lab Computat & Syst Biol, Taichung, Taiwan
[3] China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[4] Asia Univ, Dept Biotechnol, Taichung, Taiwan
[5] Asia Univ, Dept Biomed Informat, Taichung, Taiwan
[6] China Med Univ, Beigang Hosp, Yunlin, Taiwan
来源
PLOS ONE | 2012年 / 7卷 / 09期
关键词
DRUG DISCOVERY; OBESITY; ORLISTAT; ABSORPTION; PROGRAM; PROTEIN; WEIGHT; DESIGN;
D O I
10.1371/journal.pone.0043932
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Pancreatic triacylglycerol lipase (PNLIP) are primary lipases that are critical for triacylglyceride digestion in human. Since reduced metabolism of triacylglyceride might be a plausible concept for weight loss, we screened for potential PNLIP inhibitors from traditional Chinese medicine (TCM) with the aim to identify weight loss candidate compounds. TCM candidates Aurantiamide, Cnidiadin, and 2-hexadecenoic acid exhibited higher Dock Scores than the commercial drug Orlistat, and were also predicted to have inhibitory characteristics against PNLIP using constructed MLR (R-2 = 0.8664) and SVM (R-2 = 0.9030) models. Molecular dynamics indicated that the TCM-PNLIP complexes formed were stable. We identified that the PNLIP binding site has several residues that can serve as anchors, and a hydrophobic corridor that provides additional stability to the complex. Aurantiamide, Cnidiadin, and 2-hexadecenoic acid all have features that correspond to these binding site features, indicating their potential as candidates for PNLIP inhibitors. The information presented in this study may provide helpful insights to designing novel weight-control drugs.
引用
收藏
页数:11
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