Nazari_2018_Curr.Comput.Aided.Drug.Des_14_391

Reference

Title : 2D & 3D-QSAR Study on Novel Piperidine and Piperazine Derivatives as Acetylcholinesterase Enzyme Inhibitors - Nazari_2018_Curr.Comput.Aided.Drug.Des_14_391
Author(s) : Nazari M , Tabatabai SA , Rezaee E
Ref : Curr Comput Aided Drug Des , 14 :391 , 2018
Abstract :

INTRODUCTION: Acetylcholinesterase enzyme (AChE) is the main target in Alzheimer's disease therapy and designing of novel AChE inhibitors is a great deal of attention. METHODS: In this study, 2D-QSAR and 3D-QSAR models were generated using stepwise multiple linear regressions (SW-MLR) and comparative molecular field analysis (CoMFA) respectively. RESULTS: It was found that CoMFA model with r2 of 0.947 for the training set and r2 of 0.816 for the test set is more favorable than model which is established by SW-MLR method with r2 =0.825 and r2pred =0.778 in 2D-QSAR. CONCLUSION: In addition, obtaining models were validated by cross validation with cut off values of q2 > 0.5 and r2pred > 0.6.

PubMedSearch : Nazari_2018_Curr.Comput.Aided.Drug.Des_14_391
PubMedID: 30047333

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Citations formats

Nazari M, Tabatabai SA, Rezaee E (2018)
2D & 3D-QSAR Study on Novel Piperidine and Piperazine Derivatives as Acetylcholinesterase Enzyme Inhibitors
Curr Comput Aided Drug Des 14 :391

Nazari M, Tabatabai SA, Rezaee E (2018)
Curr Comput Aided Drug Des 14 :391