是否有可能设计出针对H1N1、H5N1、H5N2和H5N7的多功能抑制剂?

Chien-Yu Chen, D. Bau, M. Tsai, Y. Hsu, T. Ho, Hung-Jin Huang, Yea-Huey Chang, F. Tsai, Chang-Hai Tsai, Calvin Yu‐Chian Chen
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引用次数: 0

摘要

在本研究中,神经氨酸酶(NA) 1型(N1)的QSAR模型升高。该图谱包含两个氢键受体特征、一个氢键供体特征和一个正离子电离特征。在第二步,我们在神经氨酸酶2型和7型(N2和N7)蛋白结构的活性位点上创建了相互作用图。基于结构的药效团图谱显示了蛋白质结构上活性位点上每个氨基酸的特征。第三步药效团比较,对药效团特征进行均方根误差(RMSE)分析。结果表明,N1、N2和N7的地物距离存在细微差异。我们创建了N1, N2和N7的组合图,以解决三种NA类型的差异。将该组合图谱用于NCI数据库筛选,结果表明,有效的多功能抑制剂得到了提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is that Possible to Design the Versatile Inhibitors for H1N1, H5N1, H5N2, and H5N7?
In this study, a QSAR model of neuraminidase (NA) type 1 (N1) was elevated. This map contained two hydrogen bond acceptor features, one hydrogen bond donor features, and one positive ionizable feature. In the second step, we created the interaction maps in the active sites on the neuraminidase type2, and type7 (N2 and N7) protein structures. The structure-based pharmacophore map was showed the features on every amino acid in the active site on the protein structure. The third step was pharmacophore comparison, root-mean-squared error (RMSE) was reported for the matching pharmacophore features. The result showed that the maps of N1, N2, and N7 had subtle differences in distances of each features. We created the combined map for N1, N2, and N7 to resolving the difference in the three NA types. The combined map was employed to NCI database screening, then, the potent versatile inhibitors were elevated in the results.
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