Literature DB >> 18442228

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.

Stefano Costanzi1.   

Abstract

The publication of the crystal structure of the beta2-adrenergic receptor (beta2-AR) proved that G protein-coupled receptors (GPCRs) share a structurally conserved rhodopsin-like 7TM core. Here, to probe to which extent realistic GPCR structures can be recreated through modeling, carazolol was docked at two rhodopsin-based homology models of the human beta 2-AR. The first featured a rhodopsin-like second extracellular loop, which interfered with ligand docking and with the orientation of several residues in the binding pocket. The second featured a second extracellular loop built completely de novo, which afforded a more accurate model of the binding pocket and a better docking of the ligand. Furthermore, incorporating available biochemical and computational data to the model by correcting the conformation of a single residue lining the binding pocket --Phe290(6.52)--, resulted in significantly improved docking poses. These results support the applicability of GPCR modeling to the design of site-directed mutagenesis experiments and to drug discovery.

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Year:  2008        PMID: 18442228      PMCID: PMC2443693          DOI: 10.1021/jm800044k

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  52 in total

1.  Ligand-supported homology modeling of g-protein-coupled receptor sites: models sufficient for successful virtual screening.

Authors:  Andreas Evers; Gerhard Klebe
Journal:  Angew Chem Int Ed Engl       Date:  2004-01       Impact factor: 15.336

Review 2.  Ligand-based homology modeling as attractive tool to inspect GPCR structural plasticity.

Authors:  Stefano Moro; Francesca Deflorian; Magdalena Bacilieri; Giampiero Spalluto
Journal:  Curr Pharm Des       Date:  2006       Impact factor: 3.116

3.  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

4.  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

5.  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

6.  Molecular evolution of adrenoceptors and dopamine receptors: implications for the binding of catecholamines.

Authors:  Henri Xhaard; Ville-Veikko Rantanen; Tommi Nyrönen; Mark S Johnson
Journal:  J Med Chem       Date:  2006-03-09       Impact factor: 7.446

7.  Role of the second extracellular loop of adenosine receptors in agonist and antagonist binding. Analysis of chimeric A1/A3 adenosine receptors.

Authors:  M E Olah; K A Jacobson; G L Stiles
Journal:  J Biol Chem       Date:  1994-10-07       Impact factor: 5.157

8.  The high affinity state of the beta 2-adrenergic receptor requires unique interaction between conserved and non-conserved extracellular loop cysteines.

Authors:  K Noda; Y Saad; R M Graham; S S Karnik
Journal:  J Biol Chem       Date:  1994-03-04       Impact factor: 5.157

9.  Derivation of rules for comparative protein modeling from a database of protein structure alignments.

Authors:  A Sali; J P Overington
Journal:  Protein Sci       Date:  1994-09       Impact factor: 6.725

10.  The probable arrangement of the helices in G protein-coupled receptors.

Authors:  J M Baldwin
Journal:  EMBO J       Date:  1993-04       Impact factor: 11.598

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  60 in total

1.  Structural insights into human GPCR protein OA1: a computational perspective.

Authors:  Anirban Ghosh; Uddhavesh Sonavane; Sai Krishna Andhirka; Gopala Krishna Aradhyam; Rajendra Joshi
Journal:  J Mol Model       Date:  2011-09-22       Impact factor: 1.810

2.  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 3.  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

4.  Computational molecular biology approaches to ligand-target interactions.

Authors:  Paola Lupieri; Chuong Ha Hung Nguyen; Zhaleh Ghaemi Bafghi; Alejandro Giorgetti; Paolo Carloni
Journal:  HFSP J       Date:  2009-03-10

5.  Do crystal structures obviate the need for theoretical models of GPCRs for structure-based virtual screening?

Authors:  Hao Tang; Xiang Simon Wang; Jui-Hua Hsieh; Alexander Tropsha
Journal:  Proteins       Date:  2012-03-13

6.  Insights into the binding modes of human β₃-adrenergic receptor agonists with ligand-based and receptor-based methods.

Authors:  Fangfang Jin; Chunhua Lu; Xianqiang Sun; Weihua Li; Guixia Liu; Yun Tang
Journal:  Mol Divers       Date:  2011-03-20       Impact factor: 2.943

Review 7.  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

8.  Ligand and structure-based models for the prediction of ligand-receptor affinities and virtual screenings: Development and application to the beta(2)-adrenergic receptor.

Authors:  Santiago Vilar; Joel Karpiak; Stefano Costanzi
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

9.  In silico identification of new ligands for GPR17: a promising therapeutic target for neurodegenerative diseases.

Authors:  Ivano Eberini; Simona Daniele; Chiara Parravicini; Cristina Sensi; Maria L Trincavelli; Claudia Martini; Maria P Abbracchio
Journal:  J Comput Aided Mol Des       Date:  2011-07-09       Impact factor: 3.686

10.  Identifying conformational changes of the beta(2) adrenoceptor that enable accurate prediction of ligand/receptor interactions and screening for GPCR modulators.

Authors:  Kimberly A Reynolds; Vsevolod Katritch; Ruben Abagyan
Journal:  J Comput Aided Mol Des       Date:  2009-01-16       Impact factor: 3.686

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