首页> 美国卫生研究院文献>Journal of Cellular and Molecular Medicine >Correlation between the predicted and the observed biological activity of the symmetric and nonsymmetric cyclic urea derivatives used as HIV‐1 protease inhibitors. A 3D‐QSAR‐CoMFA method for new antiviral drug design
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Correlation between the predicted and the observed biological activity of the symmetric and nonsymmetric cyclic urea derivatives used as HIV‐1 protease inhibitors. A 3D‐QSAR‐CoMFA method for new antiviral drug design

机译:用作HIV-1蛋白酶抑制剂的对称和非对称环状脲衍生物的预测和观察到的生物学活性之间的相关性。一种用于新抗病毒药物设计的3D-QSAR-CoMFA方法

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摘要

The predicted inhibition constant (Ki) and the predicted inhibitor concentration (IC90) of the HIV‐1 protease (HIV‐1 PR) inhibitors: symmetric and nonsymmetric ‐ benzyl, ketone, oxime, pyrazole, imidazole, and triazole cyclic urea derivatives, were obtained by the 3D‐CoMFA (Comparative Molecular Field Analysis) method. The CoMFA statistical parameters: cross‐validate correlation coefficient (q2), higher than 0.5, and the fitted correlation coefficient (r2), higher than 0.90 validated the predicted biological activities. The best predictions were found for the trifluoromethyl ketoxime derivative (log 1/Ki predict = 8.42), the m‐pyridineCH2 pyrazole derivative (log 1/Ki predict = 9.77) and the 1,2,3 triazole derivative (log 1/Ki predict = 7.03). We attempted to design a new potent HIV‐1 protease inhibitor by addition of o‐benzyl to the (p‐HOPhCH2) pyrazole 12f derivative inhibitor. A favorable steric area surrounded the o‐benzyl, suggesting a possible new potent HIV‐1 protease inhibitor.
机译:HIV-1蛋白酶(HIV-1 PR)抑制剂的预期抑制常数(Ki)和预期抑制剂浓度(IC90)为:对称和不对称的苄基,酮,肟,吡唑,咪唑和三唑环脲衍生物通过3D-CoMFA(比较分子场分析)方法获得。 CoMFA统计参数:交叉验证相关系数(q2)大于0.5,而拟合相关系数(r2)大于0.90验证了预测的生物活性。对于三氟甲基酮肟衍生物(log 1 / Ki预测= 8.42),间吡啶CH2吡唑衍生物(log 1 / Ki预测= 9.77)和1,2,3三唑衍生物(log 1 / Ki预测)发现了最佳预测= 7.03)。我们试图通过向(p-HOPhCH2)吡唑12f衍生物抑制剂中添加邻苄基来设计一种新的有效HIV-1蛋白酶抑制剂。 o-苄基周围有一个有利的空间区域,表明可能是一种新的强效HIV-1蛋白酶抑制剂。

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