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基于药效团的叠合方法研究具有 InhA 抑制活性的芳基羧酰胺类化合物的 3D-QSAR

3D-QSAR studies of arylcarboxamides with inhibitory activity on InhA using pharmacophore-based alignment.

机构信息

Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing, China.

出版信息

Chem Biol Drug Des. 2010 Feb;75(2):195-203. doi: 10.1111/j.1747-0285.2009.00926.x. Epub 2009 Dec 17.

Abstract

Enoyl acyl carrier protein reductase (InhA) is a promising target for the development of antituberculosis drugs. The InhA-bound conformation of an indole-5-amide inhibitor (Genz 10850) (PDB code: IP44) was used to build a pharmacophore model by LigandScout. This model was then successfully used to identify the bioactive conformation and align 40 structurally diverse arylcarboxamide derivatives. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on arylcarboxamides-based InhA inhibitors based on pharmacophore alignment. The best prediction was obtained with CoMSIA model combining steric and electrostatic fields (, r(2) = 0.972). The model was validated by an external test set, which gave a good predictive value (). Graphical interpretation of the results revealed important structural features of the zarylcarboxamides related to the active site of InhA. The results may be exploited for further design and virtual screening for some novel InhA inhibitors.

摘要

烯酰基辅酶 A 还原酶(InhA)是开发抗结核药物的有前途的靶点。使用 LigandScout 基于 InhA 结合构象的吲哚-5-酰胺抑制剂(Genz 10850)(PDB 代码:IP44)构建药效团模型。然后,该模型成功用于识别生物活性构象并对齐 40 种结构多样的芳基羧酰胺衍生物。基于药效团对齐,对芳基羧酰胺基 InhA 抑制剂进行了比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)。结合立体和静电场的 CoMSIA 模型(,r(2)= 0.972)获得了最佳预测。该模型通过外部测试集进行了验证,得到了良好的预测值()。结果的图形解释揭示了与 InhA 活性位点相关的芳基羧酰胺的重要结构特征。这些结果可用于进一步设计和虚拟筛选一些新型 InhA 抑制剂。

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