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Binding site analysis, 3D-QSAR. studies, and molecular design of flavonoids derivatives as potent neuraminidase inhibitors

机译:结合位点分析,3D-QSAR。类黄酮衍生物作为有效神经氨酸酶抑制剂的研究和分子设计

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摘要

Binding site analysis of flavonoids derivatives indicated that Argl52, Trpl78, Ile222, Glu227, and Ala246 were the key residues in the active pocket of lnnc. Main influencing factors of interactions between flavonoids derivatives and neuraminidase (NA) were hydrogen bond and electrostatic. Meanwhile, 3D-QSAR models of flavonoids derivatives were constructed to understand chemical-biological interactions governing their activities toward NA. The developed 3D-QSAR models were robust and had good predictive capabilities. R~2, Q~2, R~2_(test), and Q~2_(ext) of the CoMFA and CoMSIA models were 0.816 and 0.929, 0.607 and 0.750, 0.507 and 0.642, and 0.478 and 0.568, respectively. Moreover, hydrogen bonds and electrostatic factors highly contributed to inhibitory activity, which were unanimous in the docking results. In addition, based on the most active sample ID33, seven new compounds with high inhibitory activity and docking score were obtained.
机译:黄酮类衍生物的结合位点分析表明,Argl52,Trpl78,Ile222,Glu227和Ala246是lnnc活性口袋中的关键残基。类黄酮衍生物和神经氨酸酶(NA)之间相互作用的主要影响因素是氢键和静电。同时,构建了类黄酮衍生物的3D-QSAR模型,以了解控制其对NA活性的化学-生物相互作用。开发的3D-QSAR模型很健壮,具有良好的预测能力。 CoMFA和CoMSIA模型的R〜2,Q〜2,R〜2_(test)和Q〜2_(ext)分别为0.816和0.929、0.607和0.750、0.507和0.642、0.478和0.568。此外,氢键和静电因子对抑制活性有很大贡献,这在对接结果中是一致的。此外,基于活性最高的样品ID33,获得了七个具有高抑制活性和对接分数的新化合物。

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