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首页> 外文期刊>SAR and QSAR in Environmental Research >Design of new CD38 inhibitors based on CoMFA modelling and molecular docking analysis of 4-amino-8-quinoline carboxamides and 2,4-diamino-8-quinazoline carboxamides
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Design of new CD38 inhibitors based on CoMFA modelling and molecular docking analysis of 4-amino-8-quinoline carboxamides and 2,4-diamino-8-quinazoline carboxamides

机译:基于COMFA建模的新型CD38抑制剂的设计及4-氨基-8-喹啉羧酰胺和2,4-二氨基-8-喹唑啉甲酰胺的分子对接分析

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摘要

In this study, based on molecular docking analysis and comparative molecular field analysis (CoMFA) modelling of a series of 71 CD38 inhibitors including 4 amino-8-quinoline carboxamides and 2,4-diamino-8-quinazoline carboxamides, new CD38 inhibitors were designed. The interactions of the molecules with the greatest and the lowest activities with the nicotinamide mononucleotide (NMN) binding site were investigated by molecular docking analysis. A CoMFA model with four partial least squares regression (PLSR) components was developed to predict the CD38 inhibitory activity of the molecules. The r(2) values for the training and test sets were 0.89 and 0.82, respectively. The Q(2) values for leave-one-out cross-validation (LOO-CV) and leave-many-out cross-validation (LMO-CV) tests on the training set were 0.65 and 0.64, respectively. The CoMFA model was validated by calculating several statistical parameters. CoMFA contour maps were interpreted, and structural features that influence the CD38 inhibitory activity of molecules were determined. Finally, seven new CD38 inhibitors with greater activity with respect to the greatest active molecules were designed.
机译:在本研究中,基于分子对接分析和比较分子场分析(COMFA)建模的71个CD38抑制剂,包括4个氨基-8-喹啉羧酰胺和2,4-氨基-8-喹唑啉甲酰胺,设计了新的CD38抑制剂。通过分子对接分析研究了具有最大和最低活性的分子与烟酰胺单核苷酸(NMN)结合位点的相互作用。开发了一种具有四个部分最小二乘回归(PLSR)组分的COMFA模型以预测分子的CD38抑制活性。培训和测试集的R(2)值分别为0.89和0.82。休假交叉验证(LOO-CV)的Q(2)值和训练集的休假 - 众多交叉验证(LMO-CV)测试分别为0.65和0.64。通过计算多个统计参数来验证COMFA模型。 COMFA轮廓图被解释,测定了影响分子CD38抑制活性的结构特征。最后,设计了七种新的CD38抑制剂,具有更大的活动相对于最大的活性分子的活动。

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