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Ligand-Based Pharmacophore Modeling, Virtual Screening and Molecular Docking Studies for Discovery of Novel Inhibitors against Staphylococcal Infections

机译:基于配体的药理学模型,虚拟筛选和分子对接研究,发现针对葡萄球菌感染的新型抑制剂。

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Staphylococcus aureus is a major pathogen which causes severe staphylococcal infections. It has acquired resistance against most of the beta-lactam antibiotics. Thus there is a need to identify new potent inhibitors for treating staphylococcal infections. It has been observed that the Penicillin binding protein, PBP4 is essential for beta-lactam resistance in Methicillin resistance strains (MRSA) and it is also responsible for peptidoglycan cell wall biosynthesis of S aureus. Thus, it represents a major target for drug rediscovery for staphylococcal infections. In order to obtain the new more potent inhibitors, we performed different computer-aided drug design technologies like pharmacophore modeling, virtual screening and molecular docking studies. It was found that Hamamelitannin (2', 5-di-O-galloyl-D-hamamelose), a natural plant component can be used as a suppressor of staphylococcal infections. So in our study, we used Hamamelitannin derivatives to identify new inhibitors for treating staphylococcal infections. To identify the chemical features of Hamamelitannin derivatives, pharmacophore models were generated using LigandScout3.1. Among the ten generated models, the first model (Model-1) was selected as best one. The best pharmacophore model (Model-1) characterized by one hydrophobic(H), one aromatic ring(AR), five hydrogen bond acceptor(HBA) features and also had high score(0.7760). From this best model, 5 Hamamelitannin derivative compounds showing maximum essential binding features were obtained. To retrieve new more compounds, the Model-1 was used as query to screen a compound database downloaded from PubChem. The screened compounds were then filtered by applying Lipinski rule of five. Finally to validate our results, we performed docking studies using the CDOCKER program of Discovery Studio3.1 package. The pharmacophore model thus generated may provide guidance to discover new novel inhibitors against staphylococcal infections by highlighting the importa- t binding features of Hamamelitannin derivatives.
机译:金黄色葡萄球菌是引起严重葡萄球菌感染的主要病原体。它已对大多数β-内酰胺类抗生素产生了抗药性。因此,需要鉴定用于治疗葡萄球菌感染的新的有效抑制剂。已经观察到,青霉素结合蛋白PBP4对于甲氧西林抗性菌株(MRSA)中的β-内酰胺抗性是必不可少的,并且它还负责金黄色葡萄球菌的肽聚糖细胞壁的生物合成。因此,它代表了用于葡萄球菌感染的药物重新发现的主要目标。为了获得新的更有效的抑制剂,我们进行了多种计算机辅助药物设计技术,例如药效基团建模,虚拟筛选和分子对接研究。已经发现,天然植物成分金缕梅宁(2',5-二-O-galloyl-D-hamamelose)可以用作葡萄球菌感染的抑制剂。因此,在我们的研究中,我们使用了金缕梅宁衍生物来鉴定用于治疗葡萄球菌感染的新抑制剂。为了鉴定金缕梅宁衍生物的化学特征,使用LigandScout3.1生成了药效团模型。在生成的十个模型中,第一个模型(Model-1)被选为最佳模型。最佳的药效团模型(Model-1)具有一个疏水(H),一个芳香环(AR),五个氢键受体(HBA)的特征,并且具有很高的评分(0.7760)。从该最佳模型中,获得了显示最大基本结合特征的5种金缕梅宁衍生物化合物。为了检索更多的新化合物,使用Model-1作为查询来筛选从PubChem下载的化合物数据库。然后通过应用五的Lipinski法则过滤所筛选的化合物。最后,为了验证我们的结果,我们使用Discovery Studio3.1软件包的CDOCKER程序进行了对接研究。由此产生的药效团模型可以通过突出金缕梅宁衍生物的重要结合特征,为发现新的针对葡萄球菌感染的抑制剂提供指导。

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