Literature DB >> 24158798

The GPCR crystallography boom: providing an invaluable source of structural information and expanding the scope of homology modeling.

Stefano Costanzi1, Keyun Wang.   

Abstract

G protein-coupled receptors (GPCRs) are integral membrane proteins of high pharmaceutical interest. Until relatively recently, their structures have been particularly elusive, and rhodopsin has been for many years the only member of the superfamily with experimentally elucidated structures. However, a number of recent technical and scientific advancements made the determination of GPCR structures more feasible, thus leading to the solution of the structures of several receptors. Besides providing direct structural information, these experimental GPCR structures also provide templates for the construction of GPCR models. In depth studies have been performed to probe the accuracy of these models, in particular with respect to the interactions with their ligands, and to assess their applicability the rational discovery of GPCR modulators. Given the current state of the art and the pace of the field, the future of GPCR structural studies is likely to be characterized by a landscape populated by an increasingly higher number of experimental and theoretical structures.

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Year:  2014        PMID: 24158798     DOI: 10.1007/978-94-007-7423-0_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  10 in total

1.  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

2.  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

3.  Homology modeling, docking, and molecular dynamics simulation of the receptor GALR2 and its interactions with galanin and a positive allosteric modulator.

Authors:  Wen-Qi Hui; Qi Cheng; Tian-Yu Liu; Qin Ouyang
Journal:  J Mol Model       Date:  2016-03-28       Impact factor: 1.810

4.  The Dynamic Process of Drug-GPCR Binding at Either Orthosteric or Allosteric Sites Evaluated by Metadynamics.

Authors:  Sebastian Schneider; Davide Provasi; Marta Filizola
Journal:  Methods Mol Biol       Date:  2015

5.  G protein-coupled receptors: computer-aided ligand discovery and computational structural analyses in the 2010s.

Authors:  Stefano Costanzi
Journal:  In Silico Pharmacol       Date:  2013-12-20

6.  Graph analysis of β2 adrenergic receptor structures: a "social network" of GPCR residues.

Authors:  Samuel Sheftel; Kathryn E Muratore; Michael Black; Stefano Costanzi
Journal:  In Silico Pharmacol       Date:  2013-12-05

7.  On the modularity of the intrinsic flexibility of the µ opioid receptor: a computational study.

Authors:  Mathieu Fossépré; Laurence Leherte; Aatto Laaksonen; Daniel P Vercauteren
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

Review 8.  Structural-Functional Features of the Thyrotropin Receptor: A Class A G-Protein-Coupled Receptor at Work.

Authors:  Gunnar Kleinau; Catherine L Worth; Annika Kreuchwig; Heike Biebermann; Patrick Marcinkowski; Patrick Scheerer; Gerd Krause
Journal:  Front Endocrinol (Lausanne)       Date:  2017-04-24       Impact factor: 5.555

9.  Computational study of the structural ensemble of CC chemokine receptor type 5 (CCR5) and its interactions with different ligands.

Authors:  Guillermo Goode-Romero; Laura Dominguez
Journal:  PLoS One       Date:  2022-10-17       Impact factor: 3.752

10.  Photomodulation of G protein-coupled adenosine receptors by a novel light-switchable ligand.

Authors:  María Isabel Bahamonde; Jaume Taura; Silvia Paoletta; Andrei A Gakh; Saibal Chakraborty; Jordi Hernando; Víctor Fernández-Dueñas; Kenneth A Jacobson; Pau Gorostiza; Francisco Ciruela
Journal:  Bioconjug Chem       Date:  2014-10-02       Impact factor: 4.774

  10 in total

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