基于共价对接和MM-PBSA计算的虚拟筛选预测奈拉替尼、苏比里尔、前列地尔、曲多拉普利和氟倍他匹是治疗恰加斯病的有希望的cruzain抑制剂。

Igor Nascimento, Lucas Costa, T. Aquino
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引用次数: 1

摘要

图形摘要:摘要。本研究旨在利用共价对接和MM-PBSA协议在fda批准的药物库数据集中进行虚拟筛选,以寻找对该病毒有效的新化合物。最初,1615个fda批准的化合物被目视检查是否存在与cruzain活性半胱氨酸(Cys 25)反应的化学基团,然后为虚拟方案选择最合适的3D结构。因此,我们选择了241个化合物进行共价对接试验,并选择共价契合评分大于100的药物进行MM-PBSA计算。最后,奈拉替尼、苏比特里、前列地尔、曲多普利、氟贝他匹的共价匹配评分在102.14 ~ 116.59之间;ΔG结合值在-72.851 ~ -148,811 Kcal/mol之间;与cruzain的关键残基(Cys 25, hys159, Gly 23和Gly 65)的相互作用,显示出比其他cruzain抑制剂实验测定的最佳值。我们的研究结果表明,这些药物可能是cruzain抑制剂,并进行了生物测定
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual screening based on covalent docking and MM-PBSA calculations predict the drugs neratinib, sacubitril, alprostadil, trandolapril, and florbetapir as promising cruzain inhibitors useful against Chagas disease.
Graphical Abstract: Abstract. This work aimed to perform a virtual screening using a covalent docking and MM-PBSA protocol in an FDA-approved drugs library dataset to search for new compounds useful against this cruzain. Initially, 1615 FDA-approved compounds were visually inspected for the presence of chemical groups reactive against cruzain reactive cysteine (Cys 25 ), followed by the choice of the most suitable 3D structure for the virtual protocols. Thus, 241 compounds were selected and the covalent docking assays and the drugs with a fit score covalent greater than 100, were selected to the MM-PBSA calculations. Finally, the drugs neratinib, sacubitril, alprostadil, trandolapril, and florbetapir showed a covalent fit score between 102.14 and 116.59; ΔG binding values between -72.851 and -148,811 Kcal/mol calculated by MM-PBSA; and interactions with the key residues of the cruzain (Cys 25 , His 159 , Gly 23 , and Gly 65 ), showing best values than other cruzain inhibitors experimentally assayed. Our findings suggest that these drugs may be possible cruzain inhibitors, and biological assays
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