Literature DB >> 9690171

BUNDLE: a program for building the transmembrane domains of G-protein-coupled receptors.

M Filizola1, J J Perez, M Cartenì-Farina.   

Abstract

The only information available at present about the structural features of G-protein-coupled receptors (GPCRs) comes from low resolution electron density maps of rhodopsin obtained from electron microscopy studies on 2D crystals. Despite their low resolution, maps can be used to extract information about transmembrane helix relative positions and their tilt. This information, together with a reliable algorithm to assess the residues involved in each of the membrane spanning regions, can be used to construct a 3D model of the transmembrane domains of rhodopsin at atomic resolution. In the present work, we describe an automated procedure applicable to generate such a model and, in general, to construct a 3D model of any given GPCR with the only assumption that it adopts the same helix arrangement as in rhodopsin. The present approach avoids uncertainties associated with other procedures available for constructing models of GPCRs based on a template, since sequence identity among GPCRs of different families in most of the cases is not significant. The steps involved in the construction of the model are: (i) locate the centers of the helices according to the low-resolution electron density map; (ii) compute the tilt of each helix based on the elliptical shape observed by each helix in the map; (iii) define a local coordinate system for each of the helices; (iv) bring them together in an antiparallel orientation; (v) rotate each helix through the helical axis in such a way that its hydrophobic moment points in the same direction of the bisector formed between three consecutive helices in the bundle; (vi) rotate each helix through an axis perpendicular to the helical one to assign a proper tilt; and (vii) translate each helix to its center deduced from the projection map.

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Year:  1998        PMID: 9690171     DOI: 10.1023/a:1007969112988

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  45 in total

1.  Modeling of G-protein-coupled receptors: application to dopamine, adrenaline, serotonin, acetylcholine, and mammalian opsin receptors.

Authors:  S Trumpp-Kallmeyer; J Hoflack; A Bruinvels; M Hibert
Journal:  J Med Chem       Date:  1992-09-18       Impact factor: 7.446

2.  A model for the C5a receptor and for its interaction with the ligand [corrected].

Authors:  J Grötzinger; M Engels; E Jacoby; A Wollmer; W Strassburger
Journal:  Protein Eng       Date:  1991-10

3.  On the distribution of amino acid residues in transmembrane alpha-helix bundles.

Authors:  F A Samatey; C Xu; J L Popot
Journal:  Proc Natl Acad Sci U S A       Date:  1995-05-09       Impact factor: 11.205

4.  A simple method for displaying the hydropathic character of a protein.

Authors:  J Kyte; R F Doolittle
Journal:  J Mol Biol       Date:  1982-05-05       Impact factor: 5.469

5.  Constitutive activation of opsin: influence of charge at position 134 and size at position 296.

Authors:  G B Cohen; T Yang; P R Robinson; D D Oprian
Journal:  Biochemistry       Date:  1993-06-15       Impact factor: 3.162

6.  Projection structure of rhodopsin.

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

7.  Light-stable rhodopsin. II. An opsin mutant (TRP-265----Phe) and a retinal analog with a nonisomerizable 11-cis configuration form a photostable chromophore.

Authors:  K D Ridge; S Bhattacharya; T A Nakayama; H G Khorana
Journal:  J Biol Chem       Date:  1992-04-05       Impact factor: 5.157

8.  Determinants of visual pigment absorbance: identification of the retinylidene Schiff's base counterion in bovine rhodopsin.

Authors:  J Nathans
Journal:  Biochemistry       Date:  1990-10-16       Impact factor: 3.162

9.  Mutagenesis and the molecular modeling of the rat angiotensin II receptor (AT1).

Authors:  Y Yamano; K Ohyama; M Kikyo; T Sano; Y Nakagomi; Y Inoue; N Nakamura; I Morishima; D F Guo; T Hamakubo
Journal:  J Biol Chem       Date:  1995-06-09       Impact factor: 5.157

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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  7 in total

1.  Molecular modeling study of the differential ligand-receptor interaction at the mu, delta and kappa opioid receptors.

Authors:  M Filizola; M Carteni-Farina; J J Perez
Journal:  J Comput Aided Mol Des       Date:  1999-07       Impact factor: 3.686

Review 2.  Modeling of mammalian olfactory receptors and docking of odorants.

Authors:  Guillaume Launay; Guenhaël Sanz; Edith Pajot-Augy; Jean-François Gibrat
Journal:  Biophys Rev       Date:  2012-09-01

3.  Advances in the Development and Application of Computational Methodologies for Structural Modeling of G-Protein Coupled Receptors.

Authors:  Juan Carlos Mobarec; Marta Filizola
Journal:  Expert Opin Drug Discov       Date:  2008-03       Impact factor: 6.098

4.  Active machine learning for transmembrane helix prediction.

Authors:  Hatice U Osmanbeyoglu; Jessica A Wehner; Jaime G Carbonell; Madhavi K Ganapathiraju
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

5.  Modelling the structures of G protein-coupled receptors aided by three-dimensional validation.

Authors:  Siavoush Dastmalchi; W Bret Church; Michael B Morris
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

6.  Structure modeling of all identified G protein-coupled receptors in the human genome.

Authors:  Yang Zhang; Mark E Devries; Jeffrey Skolnick
Journal:  PLoS Comput Biol       Date:  2006-02-17       Impact factor: 4.475

7.  Transmembrane helix prediction using amino acid property features and latent semantic analysis.

Authors:  Madhavi Ganapathiraju; N Balakrishnan; Raj Reddy; Judith Klein-Seetharaman
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

  7 in total

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