Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques.
A linear quantitative-structure activity relationship model is developed in this work using Multiple Linear Regression Analysis as applied to a series of 51 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides derivatives with CCR5 binding affinity. For the selection of the best variables the Elimination Selection-Stepwise Regression Method (ES-SWR) is utilized. The predictive ability of the model is evaluated against a set of 13 compounds. Based on the produced QSAR model and an analysis on the domain of its applicability, the effects of various structural modifications on biological activity are investigated. The study leads to a number of guanidine derivatives with significantly improved predicted activities.
Afantitis
Antreas
A
School of Chemical Engineering, National Technical University of Athens, Athens, Greece.
Melagraki
Georgia
G
Sarimveis
Haralambos
H
Koutentis
Panayiotis A
PA
Markopoulos
John
J
Igglessi-Markopoulou
Olga
O
D000465:Algorithms; D000577:Amides / Q000737:chemistry; D044482:Benzeneacetamides / Q000737:chemistry* / Q000494:pharmacology; D001667:Binding, Competitive / Q000187:drug effects; D065100:CCR5 Receptor Antagonists; D015195:Drug Design; D006146:Guanidines / Q000737:chemistry; D016014:Linear Models; D008958:Models, Molecular; D015394:Molecular Structure; D010880:Piperidines / Q000737:chemistry; D021281:Quantitative Structure-Activity Relationship; D019713:Receptors, CCR5 / Q000737:chemistry* / Q000378:metabolism
D000577:Amides; D044482:Benzeneacetamides; D065100:CCR5 Receptor Antagonists; D006146:Guanidines; D010880:Piperidines; D019713:Receptors, CCR5