Literature DB >> 21253444

Modeling G Protein-Coupled Receptors: a Concrete Possibility.

Stefano Costanzi.   

Abstract

G protein-coupled receptors (GPCRs) are a large superfamily of membrane bound signaling proteins that are involved in the regulation of a wide range of physiological functions and constitute the most common target for therapeutic intervention. Due to the paucity of crystal structures, homology modeling has become a widespread technique for the construction of GPCR models, which have been applied to the study of their structure-function relationships and to the identification of lead ligands through virtual screening. Rhodopsin has been for years the only available template. However, recent breakthroughs in GPCR crystallography have led to the solution of the structures of a few additional receptors. In light of these newly elucidated crystal structures, we have been able to produce a substantial amount of data to demonstrate that accurate models of GPCRs in complex with their ligands can be constructed through homology modeling followed by fully flexible molecular docking. These results have been confirmed by our success in the first blind assessment of GPCR modeling and docking, organized in coordination with the solution of the X-ray structure of the adenosine A(2A) receptor. Taken together, these data indicate that: a) the transmembrane helical bundle can be modeled with considerable accuracy; b) predicting the binding mode of a ligand, although doable, is challenging; c) modeling of the extracellular and intracellular loops is still problematic.

Entities:  

Year:  2010        PMID: 21253444      PMCID: PMC3022441     

Source DB:  PubMed          Journal:  Chim Oggi        ISSN: 0392-839X


  27 in total

Review 1.  Neoceptors: reengineering GPCRs to recognize tailored ligands.

Authors:  Kenneth A Jacobson; Zhan-Guo Gao; Bruce T Liang
Journal:  Trends Pharmacol Sci       Date:  2007-02-05       Impact factor: 14.819

2.  P2Y1 antagonists: combining receptor-based modeling and QSAR for a quantitative prediction of the biological activity based on consensus scoring.

Authors:  Stefano Costanzi; Irina G Tikhonova; Michihiro Ohno; Eun Joo Roh; Bhalchandra V Joshi; Anny-Odile Colson; Dayle Houston; Savitri Maddileti; T Kendall Harden; Kenneth A Jacobson
Journal:  J Med Chem       Date:  2007-06-12       Impact factor: 7.446

3.  Human P2Y(6) receptor: molecular modeling leads to the rational design of a novel agonist based on a unique conformational preference.

Authors:  Stefano Costanzi; Bhalchandra V Joshi; Savitri Maddileti; Liaman Mamedova; Maria J Gonzalez-Moa; Victor E Marquez; T Kendall Harden; Kenneth A Jacobson
Journal:  J Med Chem       Date:  2005-12-29       Impact factor: 7.446

4.  Cloning of the gene and cDNA for mammalian beta-adrenergic receptor and homology with rhodopsin.

Authors:  R A Dixon; B K Kobilka; D J Strader; J L Benovic; H G Dohlman; T Frielle; M A Bolanowski; C D Bennett; E Rands; R E Diehl; R A Mumford; E E Slater; I S Sigal; M G Caron; R J Lefkowitz; C D Strader
Journal:  Nature       Date:  1986 May 1-7       Impact factor: 49.962

Review 5.  Rhodopsin and the others: a historical perspective on structural studies of G protein-coupled receptors.

Authors:  Stefano Costanzi; Jeffrey Siegel; Irina G Tikhonova; Kenneth A Jacobson
Journal:  Curr Pharm Des       Date:  2009       Impact factor: 3.116

6.  Modern homology modeling of G-protein coupled receptors: which structural template to use?

Authors:  Juan Carlos Mobarec; Roberto Sanchez; Marta Filizola
Journal:  J Med Chem       Date:  2009-08-27       Impact factor: 7.446

7.  Projection structure of rhodopsin.

Authors:  G F Schertler; C Villa; R Henderson
Journal:  Nature       Date:  1993-04-22       Impact factor: 49.962

8.  The 2.6 angstrom crystal structure of a human A2A adenosine receptor bound to an antagonist.

Authors:  Veli-Pekka Jaakola; Mark T Griffith; Michael A Hanson; Vadim Cherezov; Ellen Y T Chien; J Robert Lane; Adriaan P Ijzerman; Raymond C Stevens
Journal:  Science       Date:  2008-10-02       Impact factor: 47.728

Review 9.  Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008.

Authors:  Mayako Michino; Enrique Abola; Charles L Brooks; J Scott Dixon; John Moult; Raymond C Stevens
Journal:  Nat Rev Drug Discov       Date:  2009-06       Impact factor: 84.694

10.  Comparative sequence and structural analyses of G-protein-coupled receptor crystal structures and implications for molecular models.

Authors:  Catherine L Worth; Gunnar Kleinau; Gerd Krause
Journal:  PLoS One       Date:  2009-09-16       Impact factor: 3.240

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  14 in total

1.  Structural aspects of M₃ muscarinic acetylcholine receptor dimer formation and activation.

Authors:  Jianxin Hu; Doreen Thor; Yaru Zhou; Tong Liu; Yan Wang; Sara M McMillin; Rajendra Mistry; R A John Challiss; Stefano Costanzi; Jürgen Wess
Journal:  FASEB J       Date:  2011-10-26       Impact factor: 5.191

Review 2.  New insights for drug design from the X-ray crystallographic structures of G-protein-coupled receptors.

Authors:  Kenneth A Jacobson; Stefano Costanzi
Journal:  Mol Pharmacol       Date:  2012-06-13       Impact factor: 4.436

Review 3.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

4.  Computational studies to predict or explain G protein coupled receptor polypharmacology.

Authors:  Kenneth A Jacobson; Stefano Costanzi; Silvia Paoletta
Journal:  Trends Pharmacol Sci       Date:  2014-11-14       Impact factor: 14.819

5.  Predicting the biological activities through QSAR analysis and docking-based scoring.

Authors:  Santiago Vilar; Stefano Costanzi
Journal:  Methods Mol Biol       Date:  2012

6.  In silico analysis of the binding of agonists and blockers to the β2-adrenergic receptor.

Authors:  Santiago Vilar; Joel Karpiak; Barkin Berk; Stefano Costanzi
Journal:  J Mol Graph Model       Date:  2011-01-19       Impact factor: 2.518

7.  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

8.  Homology modeling of a Class A GPCR in the inactive conformation: A quantitative analysis of the correlation between model/template sequence identity and model accuracy.

Authors:  Stefano Costanzi; Matthew Skorski; Alessandro Deplano; Brett Habermehl; Mary Mendoza; Keyun Wang; Michelle Biederman; Jessica Dawson; Jia Gao
Journal:  J Mol Graph Model       Date:  2016-10-04       Impact factor: 2.518

9.  In silico screening for agonists and blockers of the β(2) adrenergic receptor: implications of inactive and activated state structures.

Authors:  Stefano Costanzi; Santiago Vilar
Journal:  J Comput Chem       Date:  2011-12-14       Impact factor: 3.376

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

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