2012
DOI: 10.6026/97320630008379
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3D-QSAR studies on fluroquinolones derivatives as inhibitors for tuberculosis

Abstract: Abstract:A quantitative structure activity relationship (QSAR) study was performed on the fluroquinolones known to have anti-tuberculosis activity. The 3D-QSAR models were generated using stepwise variable selection of the four methods -multiple regression (MR), partial least square regression (PLSR), principal component regression (PCR) and artificial neural networks (kNN-MFA). The statistical result showed a significant correlation coefficient q 2 (90%) for MR model and an external test set of (pred_r 2 ) -1… Show more

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“…The best mapped compound was compared with least mapped compound. The fit value depends on the number of pharmacophore features that efficiently superimpose to the appropriate chemical moieties, the weight of the relevant hypothesis features spheres, the distance between the center of a particular pharmacophoric sphere and the center of the associated superimposed chemical moiety of the fitted compound 19,20 .…”
Section: Methods For Validating Pharmacophoresmentioning
confidence: 99%
“…The best mapped compound was compared with least mapped compound. The fit value depends on the number of pharmacophore features that efficiently superimpose to the appropriate chemical moieties, the weight of the relevant hypothesis features spheres, the distance between the center of a particular pharmacophoric sphere and the center of the associated superimposed chemical moiety of the fitted compound 19,20 .…”
Section: Methods For Validating Pharmacophoresmentioning
confidence: 99%