Literature DB >> 11440183

Novel approach to computer modeling of seven-helical transmembrane proteins: current progress in the test case of bacteriorhodopsin.

G V Nikiforovich1, S Galaktionov, J Balodis, G R Marshall.   

Abstract

G-protein coupled receptors (GPCRs) are thought to be proteins with 7-membered transmembrane helical bundles (7TM proteins). Recently, the X-ray structures have been solved for two such proteins, namely for bacteriorhodopsin (BR) and rhodopsin (Rh), the latter being a GPCR. Despite similarities, the structures are different enough to suggest that 3D models for different GPCRs cannot be obtained directly employing 3D structures of BR or Rh as a unique template. The approach to computer modeling of 7TM proteins developed in this work was capable of reproducing the experimental X-ray structure of BR with great accuracy. A combination of helical packing and low-energy conformers for loops most close to the X-ray structure possesses the r.m.s.d. value of 3.13 A. Such a level of accuracy for the 3D-structure prediction for a 216-residue protein has not been achieved, so far, by any available ab initio procedure of protein folding. The approach may produce also other energetically consistent combinations of helical bundles and loop conformers, creating a variety of possible templates for 3D structures of 7TM proteins, including GPCRs. These templates may provide experimentalists with various plausible options for 3D structure of a given GPCR; in our view, only experiments will determine the final choice of the most reasonable 3D template.

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Year:  2001        PMID: 11440183

Source DB:  PubMed          Journal:  Acta Biochim Pol        ISSN: 0001-527X            Impact factor:   2.149


  9 in total

1.  Exploring the conformational space of membrane protein folds matching distance constraints.

Authors:  Jean-Loup Faulon; Ken Sale; Malin Young
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

2.  Optimal bundling of transmembrane helices using sparse distance constraints.

Authors:  Ken Sale; Jean-Loup Faulon; Genetha A Gray; Joseph S Schoeniger; Malin M Young
Journal:  Protein Sci       Date:  2004-08-31       Impact factor: 6.725

3.  Modeling and active site refinement for G protein-coupled receptors: application to the beta-2 adrenergic receptor.

Authors:  Stanley R Krystek; S Roy Kimura; Andrew J Tebben
Journal:  J Comput Aided Mol Des       Date:  2006-10-13       Impact factor: 3.686

Review 4.  Towards genome-scale structure prediction for transmembrane proteins.

Authors:  Naama Hurwitz; Marialuisa Pellegrini-Calace; David T Jones
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

Review 5.  The crystallographic model of rhodopsin and its use in studies of other G protein-coupled receptors.

Authors:  Slawomir Filipek; David C Teller; Krzysztof Palczewski; Ronald Stenkamp
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-02-05

6.  Complement factor 5a receptor chimeras reveal the importance of lipid-facing residues in transport competence.

Authors:  Jeffery M Klco; Saurabh Sen; Jakob L Hansen; Christina Lyngsø; Gregory V Nikiforovich; Soren P Sheikh; Thomas J Baranski
Journal:  FEBS J       Date:  2009-05       Impact factor: 5.542

7.  A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.

Authors:  Nikolaos G Sgourakis; Pantelis G Bagos; Panagiotis K Papasaikas; Stavros J Hamodrakas
Journal:  BMC Bioinformatics       Date:  2005-04-22       Impact factor: 3.169

8.  Preferential binding of allosteric modulators to active and inactive conformational states of metabotropic glutamate receptors.

Authors:  Naveena Yanamala; Kalyan C Tirupula; Judith Klein-Seetharaman
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

9.  Use of a structural alphabet for analysis of short loops connecting repetitive structures.

Authors:  Laurent Fourrier; Cristina Benros; Alexandre G de Brevern
Journal:  BMC Bioinformatics       Date:  2004-05-12       Impact factor: 3.169

  9 in total

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