101. Homology modeling in tandem with 3D-QSAR analyses: a computational approach to depict the agonist binding site of the human CB2 receptor.
- Author
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Cichero E, Ligresti A, Allarà M, di Marzo V, Lazzati Z, D'Ursi P, Marabotti A, Milanesi L, Spallarossa A, Ranise A, and Fossa P
- Subjects
- Amino Acid Sequence, Binding Sites, Humans, Molecular Dynamics Simulation, Molecular Sequence Data, Quantitative Structure-Activity Relationship, Receptor, Cannabinoid, CB2 chemistry, Receptor, Cannabinoid, CB2 metabolism, Sequence Homology, Amino Acid, Receptor, Cannabinoid, CB2 agonists
- Abstract
CB2 receptor belongs to the large family of G-protein coupled receptors (GPCRs) controlling a wide variety of signal transduction. The recent crystallographic determination of human β2 adrenoreceptor and its high sequence similarity with human CB2 receptor (hCB2) prompted us to compute a theoretical model of hCB2 based also on β2 adrenoreceptor coordinates. This model has been employed to perform docking and molecular dynamic simulations on WIN-55,212-2 (CB2 agonist commonly used in binding experiments), in order to identify the putative CB2 receptor agonist binding site, followed by molecular docking studies on a series of indol-3-yl-tetramethylcyclopropyl ketone derivatives, a novel class of potent CB2 agonists. Successively, docking-based Comparative Molecular Fields Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) studies were also performed. The CoMSIA model resulted to be the more predictive, showing r(ncv)(2) = 0.96, r(cv)(2) = 0.713, SEE = 0.193, F = 125.223, and r(2)(pred) = 0.78. The obtained 3D-QSAR models allowed us to derive more complete guidelines for the design of new analogues with improved potency so as to synthesize new indoles showing high CB2 affinity., (Copyright © 2011 Elsevier Masson SAS. All rights reserved.)
- Published
- 2011
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