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3D-QSAR 研究三氮唑哌嗪酰胺二肽基肽酶-4 抑制剂作为抗糖尿病药物。

3D-QSAR studies on triazolopiperazine amide inhibitors of dipeptidyl peptidase-IV as anti-diabetic agents.

机构信息

Molecular and Structural Biology Division, Central Drug Research Institute, Lucknow, India.

出版信息

SAR QSAR Environ Res. 2009 Jul;20(5-6):519-35. doi: 10.1080/10629360903278677.

Abstract

Three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses were carried out on 45 triazolopiperazine amide derivatives as dipeptidyl peptidase IV (DPP-IV) inhibitors in order to elucidate their antidiabetic activities. The studies include Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA). Models with good predictive abilities were generated with the cross-validated r(2) (r(2)(cv)) and conventional r(2) values of 0.589 and 0.868 for CoMFA and 0.586 and 0.868 for CoMSIA, respectively. Both models were validated by a test set of nine compounds and gave satisfactory predictive r(2) (r(2)(pred)) values of 0.816 and 0.863, respectively. CoMFA and CoMSIA contour maps were then used to analyse the structural features of the ligands to account for the activity in terms of positively contributing physicochemical properties: steric, electrostatic, hydrophobic and hydrogen bond acceptor fields. The information obtained from CoMFA and CoMSIA three-dimensional contour maps can be used for further design of triazolopiperazine amide-based analogues as anti-diabetic agents.

摘要

进行了 45 个三唑并哌嗪酰胺衍生物作为二肽基肽酶-4 (DPP-4) 抑制剂的三维定量构效关系 (3D-QSAR) 分析,以阐明它们的抗糖尿病活性。研究包括比较分子场分析 (CoMFA) 和比较分子相似性指数分析 (CoMSIA)。CoMFA 和 CoMSIA 的交叉验证 r(2)(r(2)(cv)) 和常规 r(2) 值分别为 0.589 和 0.868,生成了具有良好预测能力的模型。两个模型均通过 9 个化合物的测试集进行了验证,分别给出了令人满意的预测 r(2)(r(2)(pred)) 值 0.816 和 0.863。然后使用 CoMFA 和 CoMSIA 等高线图分析配体的结构特征,以解释在正贡献物理化学性质方面的活性:立体、静电、疏水和氢键接受场。从 CoMFA 和 CoMSIA 三维等高线图获得的信息可用于进一步设计基于三唑并哌嗪酰胺的类似物作为抗糖尿病药物。

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