Li Yong, Jiang Lu-di, Chen Xi, He Yu-Su, Li Gong-Yu, Zhang Yan-Ling
Beijing University of Chinese Medicine, Research Center of Traditional Chinese Medicine information Engineering, Beijing 100102, China.
Zhongguo Zhong Yao Za Zhi. 2016 Jan;41(2):264-271. doi: 10.4268/cjcmm20160217.
In this research, a combined method of ligand-based pharmacophore (LBP), structure-based pharmacophore (SBP), and molecular docking was applied for virtual screening potential ATP-sensitive potassium channel (KATP) openers from Chinese herbs. LBP models were generated by 3D-QSAR pharmacophore(hypogen) program, based on the training set composed of 48 KATP agonists. The best LBP model consisted of one hydrogen-bond acceptor, one hydrogen-bond donor, one hydrophobic feature, one aromatic ring and five excluded volumes. Besides, the correlation coefficient of training set and test set, N, and CAI value of the model were 0.876 4, 0.705 8, 3.304, and 2.616 respectively. Meanwhile, SBP models were also generated based on a 3D structure of KATP (PMID: PM0079770). The best SBP model consisted of six hydrogen-bond acceptors, eight hydrogen-bond donors, seven hydrophobic features and eighteen excluded volumes. The corresponding N and CAI value were 2.200 and 2.017. Then, the best LBP model and SBP model were applied to identify potential KATP openers from Traditional Chinese Medicine Database(TCMD), respectively. 349 hits were obtained after analyzed by drug-likeness rules. Moreover, 12 compounds with high docking scores were reserved after molecular docking evaluation. Interestingly, part of the results had been verified as hypotensive active ingredients by literatures. Therefore, this study uncovers a specific target effect contained in TCMD, and provides candidates for new KATP openers' research.
在本研究中,采用基于配体的药效团(LBP)、基于结构的药效团(SBP)和分子对接相结合的方法,从中药中虚拟筛选潜在的ATP敏感性钾通道(KATP)开放剂。基于由48种KATP激动剂组成的训练集,通过3D-QSAR药效团(hypogen)程序生成LBP模型。最佳的LBP模型由一个氢键受体、一个氢键供体、一个疏水特征、一个芳香环和五个排除体积组成。此外,该模型训练集和测试集的相关系数、N值和CAI值分别为0.876 4、0.705 8、3.304和2.616。同时,还基于KATP的三维结构(PMID:PM0079770)生成了SBP模型。最佳的SBP模型由六个氢键受体、八个氢键供体、七个疏水特征和十八个排除体积组成。相应的N值和CAI值分别为2.200和2.017。然后,分别将最佳的LBP模型和SBP模型应用于从中药数据库(TCMD)中识别潜在的KATP开放剂。经类药规则分析后获得349个命中结果。此外,经过分子对接评估后保留了12个对接分数高的化合物。有趣的是,部分结果已被文献证实为降压活性成分。因此,本研究揭示了中药中蕴含的特定靶点效应,并为新型KATP开放剂的研究提供了候选物。