کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1398160 | 1501215 | 2008 | 8 صفحه PDF | دانلود رایگان |
Neuraminidase (NA) is a critical enzyme of the influenza virus and many inhibitors targeting this enzyme are quite efficient anti-influenza agents. In this paper, quantitative structure–activity relationship (QSAR) method was used to predict the activity of different kinds of 46 NA inhibitors. Heuristic method (HM) and radial basis function network (RBFNN) were first used to build linear and nonlinear models, respectively. The prediction results were in agreement with the experimental value. The proposed model is simple and can be extended to other QSAR investigations.
Heuristic method (HM) and radial basis function network (RBFNN) were first used to build linear and nonlinear QSAR models, respectively, to predict the activity of different kinds of 46 NA inhibitors.Figure optionsDownload as PowerPoint slide
Journal: European Journal of Medicinal Chemistry - Volume 43, Issue 3, March 2008, Pages 569–576