Literature DB >> 16796562

Ligand-based homology modeling as attractive tool to inspect GPCR structural plasticity.

Stefano Moro1, Francesca Deflorian, Magdalena Bacilieri, Giampiero Spalluto.   

Abstract

G protein-coupled receptors (GPCRs) represent the largest family known of signal-transducing molecules. They convey signals for light and many extracellular regulatory molecules. GPCRs have been found to be dysfunctional/dysregulated in a growing number of human diseases and they have been estimated to be the targets of more than 40% of the drugs used in clinical medicine today. The crystal structure of rhodopsin provides the first three-dimensional GPCR information, which now supports homology modeling studies and structure-based drug design approaches. Here, we review our recent work on adenosine receptors, a family of GPCRs and, in particular, on A(3) adenosine receptor subtype antagonists. We will focus on an alternative approach to computationally explore the multi-conformational space of the antagonist-like state of the human A(3) receptor. We define ligand-based homology modeling as new approach to simulate the reorganization of the receptor induced by the ligand binding. The success of this approach is due to the synergic interaction between theory and experiment.

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Year:  2006        PMID: 16796562     DOI: 10.2174/138161206777585265

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  14 in total

Review 1.  Recent developments in adenosine receptor ligands and their potential as novel drugs.

Authors:  Christa E Müller; Kenneth A Jacobson
Journal:  Biochim Biophys Acta       Date:  2010-12-23

2.  Design, synthesis, and molecular docking studies of new [1,2,4]triazolo[4,3-a]quinoxaline derivatives as potential A2B receptor antagonists.

Authors:  Hany G Ezzat; Ashraf H Bayoumi; Farag F Sherbiny; Ahmed M El-Morsy; Adel Ghiaty; Mohamed Alswah; Hamada S Abulkhair
Journal:  Mol Divers       Date:  2020-03-12       Impact factor: 2.943

Review 3.  Unraveling the structure and function of G protein-coupled receptors through NMR spectroscopy.

Authors:  Irina G Tikhonova; Stefano Costanzi
Journal:  Curr Pharm Des       Date:  2009       Impact factor: 3.116

4.  Structure-guided design of A(3) adenosine receptor-selective nucleosides: combination of 2-arylethynyl and bicyclo[3.1.0]hexane substitutions.

Authors:  Dilip K Tosh; Francesca Deflorian; Khai Phan; Zhan-Guo Gao; Tina C Wan; Elizabeth Gizewski; John A Auchampach; Kenneth A Jacobson
Journal:  J Med Chem       Date:  2012-05-16       Impact factor: 7.446

5.  Discovery of Mycobacterium tuberculosis InhA Inhibitors by Binding Sites Comparison and Ligands Prediction.

Authors:  Tanja Štular; Samo Lešnik; Kaja Rožman; Julia Schink; Mitja Zdouc; An Ghysels; Feng Liu; Courtney C Aldrich; V Joachim Haupt; Sebastian Salentin; Simone Daminelli; Michael Schroeder; Thierry Langer; Stanislav Gobec; Dušanka Janežič; Janez Konc
Journal:  J Med Chem       Date:  2016-12-12       Impact factor: 7.446

6.  Influence of the Structural Accuracy of Homology Models on Their Applicability to Docking-Based Virtual Screening: The β2 Adrenergic Receptor as a Case Study.

Authors:  Stefano Costanzi; Austin Cohen; Abigail Danfora; Marjan Dolatmoradi
Journal:  J Chem Inf Model       Date:  2019-07-01       Impact factor: 4.956

7.  Homology modeling of class a G protein-coupled receptors.

Authors:  Stefano Costanzi
Journal:  Methods Mol Biol       Date:  2012

8.  On the applicability of GPCR homology models to computer-aided drug discovery: a comparison between in silico and crystal structures of the beta2-adrenergic receptor.

Authors:  Stefano Costanzi
Journal:  J Med Chem       Date:  2008-04-29       Impact factor: 7.446

9.  Bidirectional, iterative approach to the structural delineation of the functional "chemoprint" in GPR40 for agonist recognition.

Authors:  Irina G Tikhonova; Chi Shing Sum; Susanne Neumann; Craig J Thomas; Bruce M Raaka; Stefano Costanzi; Marvin C Gershengorn
Journal:  J Med Chem       Date:  2007-06-07       Impact factor: 7.446

10.  Rational design of sulfonated A3 adenosine receptor-selective nucleosides as pharmacological tools to study chronic neuropathic pain.

Authors:  Silvia Paoletta; Dilip K Tosh; Amanda Finley; Elizabeth T Gizewski; Steven M Moss; Zhan-Guo Gao; John A Auchampach; Daniela Salvemini; Kenneth A Jacobson
Journal:  J Med Chem       Date:  2013-07-03       Impact factor: 7.446

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