Literature DB >> 10669565

Molecular docking reveals a novel binding site model for fentanyl at the mu-opioid receptor.

G Subramanian1, M G Paterlini, P S Portoghese, D M Ferguson.   

Abstract

The ligand binding modes of a series of fentanyl derivatives are examined using a combination of conformational analysis and molecular docking to the mu-opioid receptor. Condensed-phase molecular dynamics simulations are applied to evaluate potential relationships between ligand conformation and fentanyl substitution and to generate probable "bioactive" structures for the ligand series. Automated docking of the largely populated solution conformers identified a common binding site orientation that places the N-phenethyl group of fentanyl deep in a crevice between transmembrane (TM) helices II and III while the N-phenylpropanamide group projected toward a pocket formed by TM-III, -VI, and -VII domains. An analysis of the binding modes indicates the most potent fentanyl derivatives adopt an extended conformation both in solution and in the bound state, suggesting binding affinity may depend on the conformational preferences of the ligands. The results are consistent with ligand binding data derived from chimeric and mutant receptor studies as well as structure-activity relationship data reported on a wide range of fentanyl analogues. The binding site model is also compared to that of N-phenethylnormorphine. An overlay of the bound conformation of the opiate and cis-3-methylfentanyl shows the N-phenethyl groups occupy equivalent binding domains in the receptor. While the cationic amines of both ligand classes were found docked to an established anchor site (D149 in TM-III), no overlap was observed between the N-phenylpropanamide group and the remaining components of the opiate scaffold. The unique binding mode(s) proposed for the fentanyl series may, in part, explain the difficulties encountered in defining models of recognition at the mu-receptor and suggest opioid receptors may display multiple binding epitopes. Furthermore, the results provide new insight to the design of experiments aimed at understanding the structural basis to the differential selectivities of ligands at the mu-, delta-, and kappa-opioid receptors.

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Year:  2000        PMID: 10669565     DOI: 10.1021/jm9903702

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  26 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.  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 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

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.  Understanding the structural requirements of 4-anilidopiperidine analogues for biological activities at mu and delta opioid receptors.

Authors:  Yeon Sun Lee; Joel Nyberg; Sharif Moye; Richard S Agnes; Peg Davis; Shou-wu Ma; Josephine Lai; Frank Porreca; Ruben Vardanyan; Victor J Hruby
Journal:  Bioorg Med Chem Lett       Date:  2007-02-08       Impact factor: 2.823

Review 6.  Fentanyl-related compounds and derivatives: current status and future prospects for pharmaceutical applications.

Authors:  Ruben S Vardanyan; Victor J Hruby
Journal:  Future Med Chem       Date:  2014-03       Impact factor: 3.808

7.  Discovery of 5-substituted tetrahydronaphthalen-2yl-methyl with N-phenyl-N-(piperidin-4-yl)propionamide derivatives as potent opioid receptor ligands.

Authors:  Srinivas Deekonda; Lauren Wugalter; Vinod Kulkarni; David Rankin; Tally M Largent-Milnes; Peg Davis; Neemah M Bassirirad; Josephine Lai; Todd W Vanderah; Frank Porreca; Victor J Hruby
Journal:  Bioorg Med Chem       Date:  2015-08-04       Impact factor: 3.641

8.  Metabolism of Carfentanil, an Ultra-Potent Opioid, in Human Liver Microsomes and Human Hepatocytes by High-Resolution Mass Spectrometry.

Authors:  Michael G Feasel; Ariane Wohlfarth; John M Nilles; Shaokun Pang; Robert L Kristovich; Marilyn A Huestis
Journal:  AAPS J       Date:  2016-08-05       Impact factor: 4.009

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.  Identification, structure-activity relationships and molecular modeling of potent triamine and piperazine opioid ligands.

Authors:  Austin B Yongye; Jon R Appel; Marc A Giulianotti; Colette T Dooley; Jose L Medina-Franco; Adel Nefzi; Richard A Houghten; Karina Martínez-Mayorga
Journal:  Bioorg Med Chem       Date:  2009-06-21       Impact factor: 3.641

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