Binding site analysis of CCR2 through in silico methodologies: docking, CoMFA, and CoMSIA |
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Authors: | Kothandan Gugan Gadhe Changdev G Madhavan Thirumurthy Cho Seung J |
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Institution: | Departments of Bio-New Drug Development, College of Medicine, Chosun University, Gwangju, South Korea. |
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Abstract: | Chemokine receptor (CCR2) is a G protein‐coupled receptor that contains seven transmembrane domains. CCR2 is targeted for diseases like arthritis, multiple sclerosis, vascular disease, obesity and type 2 diabetes. Herein, we report on a binding site analysis of CCR2 through docking and three‐dimensional quantitative structure–activity relationship (3D‐QSAR). The docking study was performed with modeled receptor (CCR2) using β2‐andrenergic receptor structure as a template. Comparative molecular field analysis (CoMFA)‐ and comparative molecular similarity indices analysis (CoMSIA)‐based 3D‐QSAR models were developed using two different schemes: ligand‐based (CoMFA; q2 = 0.820, r2 = 0.966, = 0.854 and CoMSIA; q2 = 0.762, r2 = 0.846, = 0.684) and receptor‐guided (CoMFA; q2 = 0.753, r2 = 0.962, = 0.786, CoMSIA; q2 = 0.750, r2 = 0.800, = 0.797) methods. 3D‐QSAR analysis revealed the contribution of electrostatic and hydrogen bond donor parameters to the inhibitory activity. Contour maps suggested that bulky substitutions on the para position of R1 substituted phenyl ring, electronegative and donor substitutions on meta (5′) and ortho (2′) position of R2 substituted phenyl ring were favorable for activity. The results correlate well with previous results and newly report additional residues that may be crucial in CCR2 antagonism. |
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Keywords: | CCR2 comparative molecular field analysis comparative molecular similarity indices analysis Genetic Algorithm Similarity Program pharmacophore 3D‐QSAR |
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