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使用比较分子场分析和对接研究探索苯乙烯基喹啉HIV-1整合酶抑制剂的结合模式。

Exploring binding mode for styrylquinoline HIV-1 integrase inhibitors using comparative molecular field analysis and docking studies.

作者信息

Ma Xiao-hui, Zhang Xiao-yi, Tan Jian-jun, Chen Wei-zu, Wang Cun-xin

机构信息

College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100022, China.

出版信息

Acta Pharmacol Sin. 2004 Jul;25(7):950-8.

Abstract

AIM

To understand pharmacophore properties of styrylquinoline derivatives and to design inhibitors of HIV-1 integrase.

METHODS

Comparative molecular field analysis (CoMFA) was performed to analyze three-dimensional quantitative structure-activity relationship (3D-QSAR) of styrylquinoline derivatives. Thirty-eight compounds were randomly divided into a training set of 28 compounds and a test set of 10 compounds. The stability of 3D-QSAR models was proved by the analysis of cross-validated and non-cross-validated methods. Moreover, the binding mode of these compounds and integrase was constructed by AutoDock program.

RESULTS

The CoMFA model of the training compounds was reasonably predicted with cross-validated coefficient (q2) and conventional (r2) values (up to 0.696 and 0.754). Then the model was validated by the test set. The resulting CoMFA maps visualized structural requirements for the biological activity of these inhibitors. Docking results showed that a carboxyl group at C-7 and a hydroxyl group at C-8 in the quinoline subunit, bound closely to the divalent metal cofactor (Mg2+) around the integrase catalytic site. Moreover, there is a linear correlation between the binding energy of the inhibitors with integrase and their inhibitory effect.

CONCLUSIONS

The present study indicated that the CoMFA model together with docking results could give us helpful hints for drug design as well as interpretation of the binding affinity between these inhibitors and integrase.

摘要

目的

了解苯乙烯基喹啉衍生物的药效团特性并设计HIV-1整合酶抑制剂。

方法

进行比较分子场分析(CoMFA)以分析苯乙烯基喹啉衍生物的三维定量构效关系(3D-QSAR)。38种化合物被随机分为一个包含28种化合物的训练集和一个包含10种化合物的测试集。通过交叉验证和非交叉验证方法的分析证明了3D-QSAR模型的稳定性。此外,通过AutoDock程序构建了这些化合物与整合酶的结合模式。

结果

训练化合物的CoMFA模型通过交叉验证系数(q2)和常规(r2)值得到合理预测(分别高达0.696和0.754)。然后用测试集对该模型进行验证。所得的CoMFA图谱直观显示了这些抑制剂生物活性的结构要求。对接结果表明,喹啉亚基中C-7处的羧基和C-8处的羟基与整合酶催化位点周围的二价金属辅因子(Mg2+)紧密结合。此外,抑制剂与整合酶的结合能与其抑制作用之间存在线性相关性。

结论

本研究表明,CoMFA模型与对接结果可为药物设计以及解释这些抑制剂与整合酶之间的结合亲和力提供有用的线索。

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