Discovery of potential ATP-sensitive potassium channel openers with potential hypotensive activity from Chinese herbs based on molecular simulation / 中国中药杂志

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.

Discovering L-type calcium channels inhibitors of antihypertensive drugs based on drug repositioning / 中国中药杂志

This study was amid to construct the pharmacophore model of L-type calcium channel antagonist in the application of screening Drugbank and TCMD. This paper repositions the approved drugs resulting from virtual screening and discusses the relocation-based drug discovery methods, screening antihypertensive drugs with L-type calcium channel function from TCMD. Qualitative hypotheses wre generated by HipHop separately on the basis of 12 compounds with antagonistic action on L-type calcium channel expressed in rabbit cardiac muscle. Datebase searching method was used to evaluate the generated hypotheses. The optimum hypothesis was used to search Drugbank and TCMD. This paper repositions the approved drugs and evaluates the antihypertensive effect of the chemical constituent of traditional Chinese medicine resulting from virtual screening by the matching score and literature. The results showed that optimum qualitative hypothesis is with six features, which were two hydrogen-bond acceptors, four hydrophobic groups, and the CAI value of 2.78. Screening Drugbank achieves 93 approved drugs. Screening TCMD achieves 285 chemical constituents of traditional Chinese medicine. It was concluded that the hypothesis is reliable and can be used to screen datebase. The approved drugs resulting from virtual screening, such as pravastatin, are potentially L-type calcium channels inhibitors. The chemical constituents of traditional Chinese medicine, such as Arctigenin III and Arctigenin are potentially antihypertensive drugs. It indicates that Drug Repositioning based on hypothesis is possible.

Virtual screening for natural CETP inhibitors by structure-based pharmacophore / 中国中药杂志

Cholesterol ester transfer protein (CETP) is a key regulator of high density lipoprotein (HDL). Owing to its important role in the reverse of cholesterol transport, CETP has become a hotspot target in modulating lipid drug design. In this paper, structure based pharmacophore (SBP) models for CETP inhibitors were built based on the protein structure 4F2A from Protein Database (PDB). The best pharmacophore contained six hydrophobic features, one hydrogen bond acceptor feature and nine excluded volume features, with the N and CAI value was 3.33 and 2.31 respectively. Then the model was used to search the traditional Chinese medicine database (TCMD) and 629 compounds originated from 315 TCM herbs were obtained. Molecular docking was also used to validate SBP by analyzing the critical amino acid residue and the interaction between potential active compounds and receptor. In this study, several TCM herbs, like Lycii Frutus and Schisandrae chinensis fructus, which contained more optimal SBP based screening results, have been reported hypolipidemic effect, and need to be studied deeply in a more focused research on herbal active constituents. Therefore, this study could provide reliable fundamental data for exploring the action mechanisms of TCM, and be applicable to identify lead candidates, which can be utilized as starting scaffolds for natural CETP inhibitors.

Study on anti-hyperlipidemia mechanism of high frequency herb pairs by molecular docking method / 中国中药杂志

Traditional Chinese medicine (TCM) has definitely clinical effect in treating hyperlipidemia, but the action mechanism still need to be explored. Based on consulting Chinese Pharmacopoeia (2010), all the lipid-lowering Chinese patent medicines were analyzed by associated rules data mining method to explore high frequency herb pairs. The top three couplet medicines with high support degree were Puerariae Lobatae Radix-Crataegi Fructus, Salviae Miltiorrhizae Radix et Rhizoma-Crataegi Fructus, and Polygoni Multiflori Radix-Crataegi Fructus. The 20 main ingredients were selected from the herb pairs and docked with 3 key hyperlipidemia targets, namely 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase), peroxisome proliferator activated receptor-α (PPAR-α ) and niemann-pick C1 like 1 (NPC1L1) to further discuss the molecular mechanism of the high frequency herb pairs, by using the docking program, LibDock. To construct evaluation rules for the ingredients of herb pairs, the root-mean-square deviation (RMSD) value between computed and initial complexes was first calculated to validate the fitness of LibDock models. Then, the key residues were also confirmed by analyzing the interactions of those 3 proteins and corresponding marketed drugs. The docking results showed that hyperin, puerarin, salvianolic acid A and polydatin can interact with two targets, and the other five compounds may be potent for at least one of the three targets. In this study, the multi-target effect of high frequency herb pairs for lipid-lowering was discussed on the molecular level, which can help further researching new multi-target anti-hyperlipidemia drug.

Study on structure-activity relationship of flavonoids' multidrug resistance-associated protein inhibitory activity / 中国中药杂志

To study the quantitative structure-activity relationship (QSAR) between the stuctures of 29 flavonoids and the inhibitory activity of their multidrug resistance-associated protein (MRP) 1 and 2 by using the comparative molecular similarity index analysis (CoMSIA). By studying the impact of the combination of different molecular force fields, researchers obtained the molecular force fields that played an important role in inhibiting the activity of MRP1 and MRP2, built the optimized QSAR model, and discussed the structural modification method for flavonoids' multidrug resistance-associated protein inhibitor. The results of the study could not only provide the guidance for new drug R&D, but also help partially discuss the synergy mechanism between MRP1 and MRP2 receptors and traditional Chinese medicines containing flavonoids.

Method of traditional Chinese medicine formula design based on 3D-database pharmacophore search and patent retrieval / 中国中药杂志

By using the pharmacophore model of mineralocorticoid receptor antagonists as a starting point, the experiment stud- ies the method of traditional Chinese medicine formula design for anti-hypertensive. Pharmacophore models were generated by 3D-QSAR pharmacophore (Hypogen) program of the DS3.5, based on the training set composed of 33 mineralocorticoid receptor antagonists. The best pharmacophore model consisted of two Hydrogen-bond acceptors, three Hydrophobic and four excluded volumes. Its correlation coefficient of training set and test set, N, and CAI value were 0.9534, 0.6748, 2.878, and 1.119. According to the database screening, 1700 active compounds from 86 source plant were obtained. Because of lacking of available anti-hypertensive medi cation strategy in traditional theory, this article takes advantage of patent retrieval in world traditional medicine patent database, in order to design drug formula. Finally, two formulae was obtained for antihypertensive.

Study on lipid-lowering traditional Chinese medicines based on pharmacophore technology and patent retrieval / 中国中药杂志

The combined application of statins that inhibit HMG-CoA reductase and fibrates that activate PPAR-α can produce a better lipid-lowering effect than the simple application, but with stronger adverse reactions at the same time. In the treatment of hyperlipidemia, the combined administration of TCMs and HMG-CoA reductase inhibitor in treating hyperlipidemia shows stable efficacy and less adverse reactions, and provides a new option for the combined application of drugs. In this article, the pharmacophore technology was used to search chemical components of TCMs, trace their source herbs, and determine the potential common TCMs that could activate PPAR-α. Because there is no hyperlipidemia-related medication reference in modern TCM classics, to ensure the high safety and efficacy of all selected TCMs, we selected TCMs that are proved to be combined with statins in the World Traditional/Natural Medicine Patent Database, analyzed corresponding drugs in pharmacophore results based on that, and finally obtained common TCMs that can be applied in PPAR-α and combined with statins. Specifically, the pharmacophore model was based on eight receptor-ligand complexes of PPAR-α. The Receptor-Ligand Pharmacophore Generation module in the DS program was used to build the model, optimize with the Screen Library module, and get the best sub-pharmacophore, which consisted of two hydrogen bond acceptor, three hydrophobic groups and 19 excluded volumes, with the identification effectiveness index value N of 2. 82 and the comprehensive evaluation index CAI value of 1. 84. The model was used to screen the TCMD database, hit 5,235 kinds of chemical components and 1 193 natural animals and plants, and finally determine 62 TCMs. Through patent retrieval, we found 38 TCMs; After comparing with the virtual screening results, we finally got seven TCMs.

Protein interaction network analysis of Panax notoginseng saponins / 中国中药杂志

Panax notoginseng (PN) is one of the commonly used clinical medicines for cardiovascular diseases and possesses a variety of pharmacological effects. P. notoginseng saponins (PNS) are the most important bioactive components in PN. The purpose of this study was to explain the mechanism of PNS on molecular network level. 18 targets of the main medicinal ingredients of PNS were gained by virtual screening based on pharmacophores and data mining. A protein interaction network of PNS was constructed with 189 nodes and 721 interactions. By a graph theoretic clustering algorithm Molecular Complex Detection (MCODE), 14 modules were detected. Gene ontology (GO) enrichment analysis of the modules demonstrated that the roles of PNS played in cardiovascular disease related to multiple biological processes, which could represent the characteristics of traditional Chinese medicine (TCM) as a whole to regulate the disease. The results showed that the blood circulation and hemostasis efficacy of PN related with the biological processes such as positive regulation of cAMP metabolic and biosynthetic process, platelet activation and regulation of blood vessel size, regulation of T cell proliferation and differentiation and so on. Therefore, the module-based network analysis will be an effective method for better understanding TCM.

Discovery of potential nicotinic acid receptor agonists from Chinese herbal medicines based on molecular simulation / 中国中药杂志

Nicotinic acid could increase high density lipoprotein and reduce serum total cholesterol, low density lipoprotein cholesterol and triglycerides in human bodies, thus is frequently applied in treating low high-density lipoprotein cholesterol and hypertriglyceridemia in clinic. However, according to the findings, nicotinic acid could also cause adverse effects, such as skin flush, beside its curative effects. In this study, bioisosterism, fragment-based search and Lipinski's Rule of Five were used to preliminarily screen out potential TCM ingredients that may have similar pharmacological effects with nicotinic acid from Traditional Chinese medicine database (TCMD). Afterwards, homology modeling and flexible docking were used to further screen out potential nicotinic acid receptor agonists. As a result, eleven candidate compounds were derived from eight commonly used traditional Chinese medicines. Specifically, all of the candidate compounds' interaction with nicotinic acid receptor was similar to nicotinic acid, and their docking scores were all higher than that of nicotinic acid, but their druggability remained to be further studied. Some of the eight source traditional Chinese medicines were used to lower lipid according to literature studies, implying that they may show effect through above means. In summary, this study provides basis and reference for extracting new nicotinic acid receptor agonists from traditional Chinese medicines and improving the medication status of hyperlipidemia.