Literature DB >> 10425604

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

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

Abstract

3D models of the opioid receptors mu, delta and kappa were constructed using BUNDLE, an in-house program to build de novo models of G-protein coupled receptors at the atomic level. Once the three opioid receptors were constructed and before any energy refinement, models were assessed for their compatibility with the results available from point-site mutations carried out on these receptors. In a subsequent step, three selective antagonists to each of three receptors (naltrindole, naltrexone and nor-binaltorphamine) were docked onto each of the three receptors and subsequently energy minimized. The nine resulting complexes were checked for their ability to explain known results of structure-activity studies. Once the models were validated, analysis of the distances between different residues of the receptors and the ligands were computed. This analysis permitted us to identify key residues tentatively involved in direct interaction with the ligand.

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Year:  1999        PMID: 10425604     DOI: 10.1023/a:1008079823736

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


  42 in total

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Journal:  Science       Date:  1992-12-18       Impact factor: 47.728

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Authors:  D Strahs; H Weinstein
Journal:  Protein Eng       Date:  1997-09

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Journal:  FEBS Lett       Date:  1995-01-02       Impact factor: 4.124

6.  mu opiate receptor: cDNA cloning and expression.

Authors:  J B Wang; Y Imai; C M Eppler; P Gregor; C E Spivak; G R Uhl
Journal:  Proc Natl Acad Sci U S A       Date:  1993-11-01       Impact factor: 11.205

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 third extracellular loop of the mu opioid receptor is important for agonist selectivity.

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Journal:  J Biol Chem       Date:  1995-06-02       Impact factor: 5.157

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Authors:  K Fukuda; K Terasako; S Kato; K Mori
Journal:  FEBS Lett       Date:  1995-10-09       Impact factor: 4.124

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Authors:  W C Probst; L A Snyder; D I Schuster; J Brosius; S C Sealfon
Journal:  DNA Cell Biol       Date:  1992 Jan-Feb       Impact factor: 3.311

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  6 in total

1.  Differentiation of delta, mu, and kappa opioid receptor agonists based on pharmacophore development and computed physicochemical properties.

Authors:  M Filizola; H O Villar; G H Loew
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

2.  Structural basis for μ-opioid receptor binding and activation.

Authors:  Adrian W R Serohijos; Shuangye Yin; Feng Ding; Josee Gauthier; Dustin G Gibson; William Maixner; Nikolay V Dokholyan; Luda Diatchenko
Journal:  Structure       Date:  2011-11-09       Impact factor: 5.006

Review 3.  Homology modeling of opioid receptor-ligand complexes using experimental constraints.

Authors:  Irina D Pogozheva; Magdalena J Przydzial; Henry I Mosberg
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

4.  Quantitative conformationally sampled pharmacophore for delta opioid ligands: reevaluation of hydrophobic moieties essential for biological activity.

Authors:  Denzil Bernard; Andrew Coop; Alexander D MacKerell
Journal:  J Med Chem       Date:  2007-03-17       Impact factor: 7.446

5.  Modeling and simulation of the human delta opioid receptor.

Authors:  Mahalaxmi Aburi; Paul E Smith
Journal:  Protein Sci       Date:  2004-07-06       Impact factor: 6.725

6.  Human μ Opioid Receptor Models with Evaluation of the Accuracy Using the Crystal Structure of the Murine μ Opioid Receptor.

Authors:  Jose Manuel Perez-Aguilar; Jeffery G Saven; Renyu Liu
Journal:  J Anesth Clin Res       Date:  2012-07-02
  6 in total

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