Quantitative Structure-Activity Relationships of Noncompetitive Antagonists of the NMDA Receptor: A Study of a Series of MK801 Derivative Molecules Using Statistical Methods and Neural Network

Quantitative Structure-Activity Relationships of Noncompetitive Antagonists of the NMDA Receptor: A Study of a Series of MK801 Derivative Molecules Using Statistical Methods and Neural Network

Abstract: From a series of 50 MK801 derivative molecules, a selected set of 44 compounds was submitted to a principal components analysis (PCA), a multiple regression analysis (MRA), and a neural network (NN). This study shows that the compounds' activity correlates reasonably well with the sel...

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Bibliographic Details
Main Authors: T. Lakhlifi, A. Mechaqrane, F. Ouazzani, M. Elasri, M. Elhallaoui
Format: Article
Language:English
Published: MDPI AG 2003-04-01
Series:International Journal of Molecular Sciences
Subjects:
structure-activity relationships
noncompetitive antagonists
MK801 derivatives
NMDA receptor
principal components analysis (PCA)
multiple regression analysis (MRA)
neural network (NN)
Online Access:http://www.mdpi.com/1422-0067/4/5/249/

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http://www.mdpi.com/1422-0067/4/5/249/

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