Literature DB >> 18255197

QSAR study of neuraminidase inhibitors based on heuristic method and radial basis function network.

W J Lü1, Y L Chen, W P Ma, X Y Zhang, F Luan, M C Liu, X G Chen, Z D Hu.   

Abstract

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.

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Year:  2007        PMID: 18255197     DOI: 10.1016/j.ejmech.2007.04.011

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  4 in total

1.  Docking and 3D QSAR study of thiourea analogs as potent inhibitors of influenza virus neuraminidase.

Authors:  Jiaying Sun; Shaoxi Cai; Hu Mei; Jian Li; Ning Yan; Yuanqiang Wang
Journal:  J Mol Model       Date:  2010-03-07       Impact factor: 1.810

Review 2.  Current mathematical methods used in QSAR/QSPR studies.

Authors:  Peixun Liu; Wei Long
Journal:  Int J Mol Sci       Date:  2009-04-29       Impact factor: 6.208

3.  Synthesis of highly functionalized β-aminocyclopentanecarboxylate stereoisomers by reductive ring opening reaction of isoxazolines.

Authors:  Melinda Nonn; Loránd Kiss; Reijo Sillanpää; Ferenc Fülöp
Journal:  Beilstein J Org Chem       Date:  2012-01-17       Impact factor: 2.883

4.  Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies.

Authors:  Saba Kalantary; Ali Jahani; Reza Pourbabaki; Zahra Beigzadeh
Journal:  RSC Adv       Date:  2019-08-12       Impact factor: 4.036

  4 in total

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