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Discovery of Non-Peptidic Compounds against Chagas Disease Applying Pharmacophore Guided Molecular Modelling Approaches

机译:应用药理学指导的分子建模方法发现抗查加斯病的非肽类化合物

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摘要

Chagas disease is one of the primary causes of heart diseases accounting to 50,000 lives annually and is listed as the neglected tropical disease. Because the currently available therapies have greater toxic effects with higher resistance, there is a dire need to develop new drugs to combat the disease. In this pursuit, the 3D QSAR ligand-pharmacophore (pharm 1) and receptor-based pharmacophore (pharm 2) search was initiated to retrieve the candidate compounds from universal natural compounds database. The validated models were allowed to map the universal natural compounds database. The obtained lead candidates were subjected to molecular docking against cysteine protease (PDB code: 1ME3) employing -Cdocker available on the discovery studio. Subsequently, two Hits have satisfied the selection criteria and were escalated to molecular dynamics simulation and binding free energy calculations. These Hits have demonstrated higher dock scores, displayed interactions with the key residues portraying an ideal binding mode complemented by mapping to all the features of pharm 1 and pharm 2. Additionally, they have rendered stable root mean square deviation (RMSD) and potential energy profiles illuminating their potentiality as the prospective antichagastic agents. The study further demonstrates the mechanism of inhibition by tetrad residues compromising of Gly23 and Asn70 holding the ligand at each ends and the residues Gly65 and Gly160 clamping the Hits at the center. The notable feature is that the Hits lie in close proximity with the residues Glu66 and Leu67, accommodating within the S1, S2 and S3 subsites. Considering these findings, the study suggests that the Hits may be regarded as effective therapeutics against Chagas disease.
机译:恰加斯病是心脏病的主要原因之一,每年有50,000人死亡,被列为被忽视的热带病。因为当前可用的疗法具有更高的毒性作用和更高的抵抗力,所以迫切需要开发新的药物来对抗这种疾病。为此,启动了3D QSAR配体-药效团(药物1)和基于受体的药效团(药物2)搜索,以从通用天然化合物数据库中检索候选化合物。经过验证的模型可以绘制通用天然化合物数据库的图。使用发现工作室提供的-Cdocker对获得的潜在候选对象进行半胱氨酸蛋白酶(PDB代码:1ME3)的分子对接。随后,两个命中满足选择标准,并逐步升级为分子动力学模拟和结合自由能计算。这些命中证明了较高的对接分数,显示了与关键残基的相互作用,描绘了理想的结合模式,并辅以映射至pharm 1和pharm 2的所有特征。此外,它们还提供了稳定的均方根偏差(RMSD)和势能曲线阐明它们作为潜在抗chachatictic剂的潜力。该研究进一步证明了四联残基对Gly23和Asn70的损害,这些残基在两端均具有配体,而残基Gly65和Gly160则将命中位居中间。显着的特征是,命中位点紧密靠近残基Glu66和Leu67,位于S1,S2和S3子位点内。考虑到这些发现,该研究表明,命中可以被视为对抗南美锥虫病的有效疗法。

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