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从中药中筛选强效胰腺三酰基甘油脂肪酶抑制剂的计算方法。

In silico identification of potent pancreatic triacylglycerol lipase inhibitors from traditional Chinese medicine.

机构信息

Department of Chinese Medicine, China Medical University, Taichung, Taiwan.

出版信息

PLoS One. 2012;7(9):e43932. doi: 10.1371/journal.pone.0043932. Epub 2012 Sep 6.

Abstract

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.

摘要

胰腺三酰基甘油脂肪酶 (PNLIP) 是主要的脂肪酶,对人体三酰基甘油的消化至关重要。由于三酰基甘油代谢减少可能是减肥的一个合理概念,我们从中药 (TCM) 中筛选潜在的 PNLIP 抑制剂,旨在确定减肥候选化合物。与商业药物奥利司他相比,中药候选物aurantiamide、Cnidiadin 和 2-十六烯酸的 Dock 得分更高,并且使用构建的 MLR(R(2) = 0.8664)和 SVM(R(2) = 0.9030)模型预测对 PNLIP 具有抑制特性。分子动力学表明,所形成的中药-PNLIP 复合物是稳定的。我们确定 PNLIP 的结合位点有几个残基可以作为锚点,一个疏水区为复合物提供额外的稳定性。 Aurantiamide、Cnidiadin 和 2-十六烯酸都具有与这些结合位点特征相对应的特征,表明它们有潜力成为 PNLIP 抑制剂的候选物。本研究提供的信息可能为设计新型体重控制药物提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce05/3435334/f469aa7eab0c/pone.0043932.g001.jpg

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