首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Combining Molecular Docking and Molecular Dynamics to Predict the Binding Modes of Flavonoid Derivatives with the Neuraminidase of the 2009 H1N1 Influenza A Virus
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Combining Molecular Docking and Molecular Dynamics to Predict the Binding Modes of Flavonoid Derivatives with the Neuraminidase of the 2009 H1N1 Influenza A Virus

机译:结合分子对接和分子动力学来预测类黄酮衍生物与2009 H1N1甲型流感病毒的神经氨酸酶的结合模式

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摘要

Control of flavonoid derivatives inhibitors release through the inhibition of neuraminidase has been identified as a potential target for the treatment of H1N1 influenza disease. We have employed molecular dynamics simulation techniques to optimize the 2009 H1N1 influenza neuraminidase X-ray crystal structure. Molecular docking of the compounds revealed the possible binding mode. Our molecular dynamics simulations combined with the solvated interaction energies technique was applied to predict the docking models of the inhibitors in the binding pocket of the H1N1 influenza neuraminidase. In the simulations, the correlation of the predicted and experimental binding free energies of all 20 flavonoid derivatives inhibitors is satisfactory, as indicated by R2 = 0.75.
机译:通过抑制神经氨酸酶来控制类黄酮衍生物抑制剂的释放已被确定为治疗H1N1流感疾病的潜在目标。我们已采用分子动力学模拟技术来优化2009 H1N1流感神经氨酸酶X射线晶体结构。化合物的分子对接揭示了可能的结合模式。我们的分子动力学模拟与溶剂化的相互作用能技术相结合,被用来预测抑制剂在H1N1流感神经氨酸酶结合口袋中的对接模型。在模拟中,如R 2 = 0.75所示,所有20种类黄酮衍生物抑制剂的预测和实验结合自由能之间的相关性均令人满意。

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