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三维以上定量构效关系 被引量:5
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作者 李仁利 《国际药学研究杂志》 CAS 2007年第4期241-245,共5页
三维以上的定量构效关系均以化合物的3D结构为基础,只是在计算中不断增加处理的自由度。4D-QSAR以每个配体的构象总体(conformational ensemble),配体的定位(alignment)和配体的不同质子化状态(protonation states)作为第四维,5D-QSAR... 三维以上的定量构效关系均以化合物的3D结构为基础,只是在计算中不断增加处理的自由度。4D-QSAR以每个配体的构象总体(conformational ensemble),配体的定位(alignment)和配体的不同质子化状态(protonation states)作为第四维,5D-QSAR的第五维为受体对配体的诱导契合(in-duced-fit),而6D-QSAR则再增加一个自由度,即考虑不同的溶剂合模型(solvation model)。本文对三维以上的定量构效关系做简要的介绍。 展开更多
关键词 定量构效关系 四维定量构效关系 五维定量构效关系 六维定量构效关系
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Multidimensional QSAR Modeling of Amprenavir Derivatives as HIV-Protease Inhibitors
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作者 Sonal Dubey G. Gowtham 《Open Journal of Medicinal Chemistry》 2011年第1期1-15,共15页
A computational study has been performed on a series of 55 compounds having (S)-N-(3-(N-(cyclopean- tylmethyl)substituted-phenylsulfonamido)-2-hydroxypropyl)acetamide backbone as HIV-1 protease inhibitors. Various com... A computational study has been performed on a series of 55 compounds having (S)-N-(3-(N-(cyclopean- tylmethyl)substituted-phenylsulfonamido)-2-hydroxypropyl)acetamide backbone as HIV-1 protease inhibitors. Various combinations of these specific inhibitors fragments were formed by breaking them at central alicyclic single bonds, while retaining the core. Standard Topomer 3D models were automatically constructed for each fragment, and a set of steric and electrostatic fields was generated for each set of topomers. The models generated showed r2 of 0.811 and crossvalidated r2 (q2) of 0.608. The other method used were Quasar and Raptor based on receptor-modelling concept (6D-QSAR) and this explicitly allows for the simulation of the induced fit, that yielded r2 of 0.574, cross-validated r2 (q2) of 0.504 and predictive r2 (q2) of 0.895 averaged over 200 models. This study has suggested the various type of substituent that can be attached to the core. The information obtained from these 3-D contour maps can be used for the design of amprenavir analogs possessing better protease inhibitory activity. 展开更多
关键词 3d-qsar 5d-qsar 6d-qsar Topmer COMFA QUASAR RAPTOR
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