Literature DB >> 17338510

Three-dimensional quantitative structure-activity relationship of nucleosides acting at the A3 adenosine receptor: analysis of binding and relative efficacy.

Soo-Kyung Kimand1, Kenneth A Jacobson.   

Abstract

The binding affinity and relative maximal efficacy of human A3 adenosine receptor (AR) agonists were each subjected to ligand-based three-dimensional quantitative structure-activity relationship analysis. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) used as training sets a series of 91 structurally diverse adenosine analogues with modifications at the N6 and C2 positions of the adenine ring and at the 3', 4', and 5' positions of the ribose moiety. The CoMFA and CoMSIA models yielded significant cross-validated q2 values of 0.53 (r2 = 0.92) and 0.59 (r2 = 0.92), respectively, and were further validated by an external test set (25 adenosine derivatives), resulting in the best predictive r2 values of 0.84 and 0.70 in each model. Both the CoMFA and the CoMSIA maps for steric or hydrophobic, electrostatic, and hydrogen-bonding interactions well reflected the nature of the putative binding site previously obtained by molecular docking. A conformationally restricted bulky group at the N6 or C2 position of the adenine ring and a hydrophilic and/or H-bonding group at the 5' position were predicted to increase A3AR binding affinity. A small hydrophobic group at N6 promotes receptor activation. A hydrophilic and hydrogen-bonding moiety at the 5' position appears to contribute to the receptor activation process, associated with the conformational change of transmembrane domains 5, 6, and 7. The 3D-CoMFA/CoMSIA model correlates well with previous receptor-docking results, current data of A3AR agonists, and the successful conversion of the A3AR agonist into antagonists by substitution (at N6) or conformational constraint (at 5'-N-methyluronamide).

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Year:  2007        PMID: 17338510     DOI: 10.1021/ci600501z

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

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Journal:  J Med Chem       Date:  2011-12-28       Impact factor: 7.446

2.  Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands.

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3.  Design of (N)-methanocarba adenosine 5'-uronamides as species-independent A3 receptor-selective agonists.

Authors:  Artem Melman; Zhan-Guo Gao; Deepmala Kumar; Tina C Wan; Elizabeth Gizewski; John A Auchampach; Kenneth A Jacobson
Journal:  Bioorg Med Chem Lett       Date:  2008-04-04       Impact factor: 2.823

4.  Breakthrough in GPCR Crystallography and Its Impact on Computer-Aided Drug Design.

Authors:  Antonella Ciancetta; Kenneth A Jacobson
Journal:  Methods Mol Biol       Date:  2018

5.  Translocation of arrestin induced by human A(3) adenosine receptor ligands in an engineered cell line: comparison with G protein-dependent pathways.

Authors:  Zhan-Guo Gao; Kenneth A Jacobson
Journal:  Pharmacol Res       Date:  2008-03-08       Impact factor: 7.658

6.  Predictive computational models of substrate binding by a nucleoside transporter.

Authors:  Catharine J Collar; Mohammed I Al-Salabi; Mhairi L Stewart; Michael P Barrett; W David Wilson; Harry P de Koning
Journal:  J Biol Chem       Date:  2009-10-05       Impact factor: 5.157

7.  Selective A(3) adenosine receptor antagonists derived from nucleosides containing a bicyclo[3.1.0]hexane ring system.

Authors:  Artem Melman; Ben Wang; Bhalchandra V Joshi; Zhan-Guo Gao; Sonia de Castro; Cara L Heller; Soo-Kyung Kim; Lak Shin Jeong; Kenneth A Jacobson
Journal:  Bioorg Med Chem       Date:  2008-08-07       Impact factor: 3.641

Review 8.  Therapeutic targets, novel drugs, and delivery systems for diabetes associated NAFLD and liver fibrosis.

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  8 in total

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