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Targeting Heat Shock Proteins 60 and 70 of Toxoplasma gondii as a Potential Drug Target: In Silico Approach

机译:靶向弓形虫热激蛋白60和70作为潜在的药物靶标:计算机方法

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Heat shock proteins (Hsps) 60 and 70 are postulated as a potential drug target for toxoplasmosis due to its importance in the developmental and survival of Toxoplasma gondii (T. gondii). As of today, there have been no reports on three-dimensional (3D) structure of Hsp60 and Hsp70 deposited in the Brookhaven Protein Data Bank. Hence, this study was conducted to predict 3D structures for Hsp60 and Hsp70 in T. gondii by homology modeling. Selection of the best predicted model was done based on multiple scoring functions. In addition, virtual screening was performed to short-list chemical compounds from the National Cancer Institute (NCI) Diversity Set III in search of potential inhibitor against Hsp60 and Hsp70 in T. gondii. Prior to virtual screening, binding sites of Hsp60 and Hsp70 were predicted using various servers and were used as the center in docking studies. The Hsps were docked against known natural ligands to validate the method used in estimating free energy of binding (FEB) and possible interactions between ligand and protein. Virtual screening was performed with a total of 1560 compounds from the NCI Diversity Set III. The compounds were ranked subsequently according to their FEB. Molecular basis of interactions of the top five ranked compounds was investigated using Ligplot(+). The major interactions exhibited were hydrogen bonding and hydrophobic interactions in binding to Hsp60 and Hsp70. The results obtained provided information and guidelines for the development of inhibitors for Hsp60 and Hsp70 in T. gondii.
机译:热休克蛋白(Hsps)60和70被认为是弓形虫病的潜在药物靶标,因为它在弓形虫(T. gondii)的发育和存活中很重要。截止到今天,还没有关于存放在Brookhaven蛋白质数据库中的Hsp60和Hsp70的三维(3D)结构的报道。因此,进行这项研究以通过同源性建模预测刚地弓形虫中Hsp60和Hsp70的3D结构。最佳预测模型的选择是基于多个评分功能进行的。此外,进行了虚拟筛选,以筛选出来自美国国家癌症研究所(NCI)多样性组合III的化合物,以寻找潜在的针对弓形虫中Hsp60和Hsp70的抑制剂。在虚拟筛选之前,使用各种服务器预测Hsp60和Hsp70的结合位点,并将其用作对接研究的中心。 Hsps与已知的天然配体对接,以验证用于估算结合自由能(FEB)以及配体与蛋白质之间可能相互作用的方法。使用来自NCI Diversity Set III的总共1560种化合物进行了虚拟筛选。随后根据其FEB对化合物进行排名。使用Ligplot(+)研究了排名前五位的化合物相互作用的分子基础。表现出的主要相互作用是与Hsp60和Hsp70结合的氢键和疏水相互作用。获得的结果为在弓形虫中开发Hsp60和Hsp70抑制剂提供了信息和指导。

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