Literature DB >> 8947918

Application of the message-address concept to the docking of naltrexone and selective naltrexone-derived opioid antagonists into opioid receptor models.

T G Metzger1, M G Paterlini, P S Portoghese, D M Ferguson.   

Abstract

A binding site model for the opioid family of G-protein coupled receptors (GPCRs) is proposed based on the message-address concept of ligand recognition. Using ligand docking studies of the universal opioid antagonist, naltrexone, the structural basis for "message' recognition is explored across all three receptor types, mu, delta, and kappa. The binding mode proposed and basis for selectivity are also rationalized using the naltrexone-derived ligands, naltrindole (NTI) and norbinaltorphimine (nor BNI). These ligands are docked to the receptor according to the common naltrexone core or message. The resulting orientation places key "address' elements in close proximity to amino acid residues critical to selectivity among receptors types. Selectivity is explained by sequence differences in the mu, delta, and kappa receptors at these recognition points. Support for the model is derived from site directed mutagenesis studies and ligand binding data for the opioid receptors and other related GPCRs.

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Year:  1996        PMID: 8947918     DOI: 10.1007/bf02532369

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  30 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.  Cloning of a delta opioid receptor by functional expression.

Authors:  C J Evans; D E Keith; H Morrison; K Magendzo; R H Edwards
Journal:  Science       Date:  1992-12-18       Impact factor: 47.728

Review 3.  Selective naltrexone-derived opioid receptor antagonists.

Authors:  A E Takemori; P S Portoghese
Journal:  Annu Rev Pharmacol Toxicol       Date:  1992       Impact factor: 13.820

4.  Allele-specific activation of genetically engineered receptors.

Authors:  C D Strader; T Gaffney; E E Sugg; M R Candelore; R Keys; A A Patchett; R A Dixon
Journal:  J Biol Chem       Date:  1991-01-05       Impact factor: 5.157

5.  Backbone-dependent rotamer library for proteins. Application to side-chain prediction.

Authors:  R L Dunbrack; M Karplus
Journal:  J Mol Biol       Date:  1993-03-20       Impact factor: 5.469

6.  Primary structures and expression from cDNAs of rat opioid receptor delta- and mu-subtypes.

Authors:  K Fukuda; S Kato; K Mori; M Nishi; H Takeshima
Journal:  FEBS Lett       Date:  1993-08-02       Impact factor: 4.124

7.  The SWISS-PROT protein sequence data bank: current status.

Authors:  A Bairoch; B Boeckmann
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

8.  Cloning and pharmacological characterization of a rat kappa opioid receptor.

Authors:  F Meng; G X Xie; R C Thompson; A Mansour; A Goldstein; S J Watson; H Akil
Journal:  Proc Natl Acad Sci U S A       Date:  1993-11-01       Impact factor: 11.205

9.  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

10.  A remarkable change of opioid receptor selectivity on the attachment of a peptidomimetic kappa address element to the delta antagonist, natrindole: 5'-[N2-alkylamidino)methyl]naltrindole derivatives as a novel class of kappa opioid receptor antagonists.

Authors:  S L Olmsted; A E Takemori; P S Portoghese
Journal:  J Med Chem       Date:  1993-01-08       Impact factor: 7.446

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  14 in total

Review 1.  Structural organization of G-protein-coupled receptors.

Authors:  A L Lomize; I D Pogozheva; H I Mosberg
Journal:  J Comput Aided Mol Des       Date:  1999-07       Impact factor: 3.686

2.  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

3.  Structure modeling of the chemokine receptor CCR5: implications for ligand binding and selectivity.

Authors:  M Germana Paterlini
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

Review 4.  Molecular recognition of opioid receptor ligands.

Authors:  Brian E Kane; Bengt Svensson; David M Ferguson
Journal:  AAPS J       Date:  2006-03-10       Impact factor: 4.009

5.  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

Review 6.  Salvinorin A analogs as probes in opioid pharmacology.

Authors:  Thomas E Prisinzano; Richard B Rothman
Journal:  Chem Rev       Date:  2008-05       Impact factor: 60.622

Review 7.  Neuropharmacology of the naturally occurring kappa-opioid hallucinogen salvinorin A.

Authors:  Christopher W Cunningham; Richard B Rothman; Thomas E Prisinzano
Journal:  Pharmacol Rev       Date:  2011-03-28       Impact factor: 25.468

8.  Role of the extracellular loops of G protein-coupled receptors in ligand recognition: a molecular modeling study of the human P2Y1 receptor.

Authors:  S Moro; C Hoffmann; K A Jacobson
Journal:  Biochemistry       Date:  1999-03-23       Impact factor: 3.162

9.  Molecular dynamics simulations predict a tilted orientation for the helical region of dynorphin A(1-17) in dimyristoylphosphatidylcholine bilayers.

Authors:  R Sankararamakrishnan; H Weinstein
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

10.  The seventh transmembrane domains of the delta and kappa opioid receptors have different accessibility patterns and interhelical interactions.

Authors:  Wei Xu; Mercedes Campillo; Leonardo Pardo; J Kim de Riel; Lee-Yuan Liu-Chen
Journal:  Biochemistry       Date:  2005-12-13       Impact factor: 3.162

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