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Prediction of anti-HCV activity of thiourea derivatives: QSAR approach

机译:硫脲衍生物的抗HCV活性预测:QSAR方法

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Abstract In pursuit of more active thioureas as anti-HCV agent, QSAR studies were performed on a series of thioureas to explore the various physico-chemical parameters responsible for their activity against HCV-infected AVa 5 cell. Physico-chemical parameters were calculated using WIN CAChe 6.1. Stepwise multiple linear regression analysis was performed to derive QSAR models which were further evaluated for statistical significance and predictive power by internal and external validation. The selected best QSAR model was having correlation coefficient (R) = 0.902 and cross-validated squared correlation coefficient (Q 2) = 0.734. The developed significant QSAR model indicates that hydrophobicity, dielectric energy, valence connectivity index (order 1), and ionization potential of whole molecule play an important role in anti-HCV activity of thioureas. The hydrophobicity of thioureas was found to have parabolic relation with its anti-HCV activity. The optimum logP value for these anti-HCV compounds was found to be 4.988.
机译:摘要为了寻求更具活性的硫脲作为抗HCV剂,对一系列硫脲进行了QSAR研究,以探索各种物理化学参数,这些参数对HCV感染的AVa 5细胞具有活性。使用WIN CAChe 6.1计算理化参数。进行逐步多元线性回归分析以导出QSAR模型,并通过内部和外部验证进一步评估其统计显着性和预测能力。选择的最佳QSAR模型的相关系数(R)= 0.902,交叉验证的平方相关系数(Q 2 )= 0.734。已开发的重要QSAR模型表明疏水性,介电能,价连接性指数(1级)和整个分子的电离电势在硫脲的抗HCV活性中起重要作用。发现硫脲的疏水性与其抗HCV活性具有抛物线关系。发现这些抗HCV化合物的最佳logP值为4.988。

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    《Medicinal Chemistry Research》 |2011年第8期|p.1164-1169|共6页
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