Open Journal of Medicinal Chemistry
Vol.3 No.1(2013), Paper ID 29475, 9
pages
DOI:10.4236/ojmc.2013.31002
Using Multiple Linear Regression and Artificial Neural Network Techniques for Predicting CCR5 Binding Affinity of Substituted 1-(3, 3-Diphenylpropyl)-Piperidinyl Amides and Ureas
Rokaya Mouhibi, Mohamed Zahouily, Khalid El Akri, Naîma Hanafi
Laboratoire de Catalyse, Chimiométrie et Environnement, Faculté des Sciences et Techniques Mohammedia (URAC24), Université Hassan II Mohammedia-Casablanca, Casablanca, Maroc
Laboratoire de Catalyse, Chimiométrie et Environnement, Faculté des Sciences et Techniques Mohammedia (URAC24), Université Hassan II Mohammedia-Casablanca, Casablanca, Maroc
Laboratoire de Chimie Organique, Catalyse et Environnement, Faculté des Sciences Ben M’sik, Université Hassan II Mohammedia-Casablanca, Casablanca, Maroc
Laboratoire de Chimie Organique, Catalyse et Environnement, Faculté des Sciences Ben M’sik, Université Hassan II Mohammedia-Casablanca, Casablanca, Maroc
Copyright © 2013 Rokaya Mouhibi, Mohamed Zahouily, Khalid El Akri, Naîma Hanafi et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
R. Mouhibi, M. Zahouily, K. Akri and N. Hanafi, "Using Multiple Linear Regression and Artificial Neural Network Techniques for Predicting CCR5 Binding Affinity of Substituted 1-(3, 3-Diphenylpropyl)-Piperidinyl Amides and Ureas,"
Open Journal of Medicinal Chemistry, Vol. 3 No. 1, 2013, pp. 7-15. doi:
10.4236/ojmc.2013.31002.