Literature DB >> 16353922

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

Irina D Pogozheva1, Magdalena J Przydzial, Henry I Mosberg.   

Abstract

Opioid receptors interact with a variety of ligands, including endogenous peptides, opiates, and thousands of synthetic compounds with different structural scaffolds. In the absence of experimental structures of opioid receptors, theoretical modeling remains an important tool for structure-function analysis. The combination of experimental studies and modeling approaches allows development of realistic models of ligand-receptor complexes helpful for elucidation of the molecular determinants of ligand affinity and selectivity and for understanding mechanisms of functional agonism or antagonism. In this review we provide a brief critical assessment of the status of such theoretical modeling and describe some common problems and their possible solutions. Currently, there are no reliable theoretical methods to generate the models in a completely automatic fashion. Models of higher accuracy can be produced if homology modeling, based on the rhodopsin X-ray template, is supplemented by experimental structural constraints appropriate for the active or inactive receptor conformations, together with receptor-specific and ligand-specific interactions. The experimental constraints can be derived from mutagenesis and cross-linking studies, correlative replacements of ligand and receptor groups, and incorporation of metal binding sites between residues of receptors or receptors and ligands. This review focuses on the analysis of similarity and differences of the refined homology models of mu, delta, and kappa-opioid receptors in active and inactive states, emphasizing the molecular details of interaction of the receptors with some representative peptide and nonpeptide ligands, underlying the multiple modes of binding of small opiates, and the differences in binding modes of agonists and antagonists, and of peptides and alkaloids.

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Year:  2005        PMID: 16353922      PMCID: PMC2750980          DOI: 10.1208/aapsj070243

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  153 in total

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9.  Development of a model for the delta-opioid receptor pharmacophore. 4. Residue 3 dehydrophenylalanine analogues of Tyr-c[D-Cys-Phe-D-Pen]OH (JOM-13) confirm required gauche orientation of aromatic side chain.

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  29 in total

1.  Development and in vitro characterization of a novel bifunctional μ-agonist/δ-antagonist opioid tetrapeptide.

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2.  Interactions of human melanocortin 4 receptor with nonpeptide and peptide agonists.

Authors:  Irina D Pogozheva; Biao-Xin Chai; Andrei L Lomize; Tung M Fong; David H Weinberg; Ravi P Nargund; Michael W Mulholland; Ira Gantz; Henry I Mosberg
Journal:  Biochemistry       Date:  2005-08-30       Impact factor: 3.162

3.  A combined ligand-based and target-based drug design approach for G-protein coupled receptors: application to salvinorin A, a selective kappa opioid receptor agonist.

Authors:  Nidhi Singh; Gwénaël Chevé; David M Ferguson; Christopher R McCurdy
Journal:  J Comput Aided Mol Des       Date:  2006-09-29       Impact factor: 3.686

4.  Simplified modeling approach suggests structural mechanisms for constitutive activation of the C5a receptor.

Authors:  Gregory V Nikiforovich; Garland R Marshall; Thomas J Baranski
Journal:  Proteins       Date:  2010-11-30

Review 5.  Membrane functional organisation and dynamic of mu-opioid receptors.

Authors:  André Lopez; Laurence Salomé
Journal:  Cell Mol Life Sci       Date:  2009-03-20       Impact factor: 9.261

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Authors:  K Andrae; V Durmaz; K Fackeldey; O Scharkoi; M Weber
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7.  [Medicine from the computer].

Authors:  K Andrae; V Durmaz; K Fackeldey; O Scharkoi; M Weber
Journal:  Schmerz       Date:  2013-08       Impact factor: 1.107

8.  [Medicine from the computer].

Authors:  K Andrae; V Durmaz; K Fackeldey; O Scharkoi; M Weber
Journal:  Z Rheumatol       Date:  2013-10       Impact factor: 1.372

9.  Molecular dynamics of fentanyl bound to μ-opioid receptor.

Authors:  Piotr F J Lipiński; Małgorzata Jarończyk; Jan Cz Dobrowolski; Joanna Sadlej
Journal:  J Mol Model       Date:  2019-05-03       Impact factor: 1.810

10.  Exploring molecular mechanisms of ligand recognition by opioid receptors with metadynamics.

Authors:  Davide Provasi; Andrea Bortolato; Marta Filizola
Journal:  Biochemistry       Date:  2009-10-27       Impact factor: 3.162

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