Literature DB >> 20683923

Prediction of the three-dimensional structure for the rat urotensin II receptor, and comparison of the antagonist binding sites and binding selectivity between human and rat receptors from atomistic simulations.

Soo-Kyung Kim1, Youyong Li, Changmoon Park, Ravinder Abrol, William A Goddard.   

Abstract

Urotensin-II (n class="Gene">U-II) has been shown to be the most potent mammalian vasoconstrictor known. Thus, a U-II antagonist might be of therapeutic value in a number of cardiovascular disorders. However, interspecies variability of several nonpeptidic ligands complicates the interpretation of in vivo studies of such antagonists in preclinical animal disease models. ACT058362 is a selective antagonist for the human U-II receptor (hUT2R) with a reported K(d) value of approximately 4 nM in a molecular binding assay, but it is reported to bind weakly to rat UT2R (rUT2R), with a K(d) value of approximately 1 500 nM. In contrast, the arylsulphonamide SB706375 is a selective antagonist against both hUT2R (K(d)= approximately 9 nM) and rUT2R (K(d)= approximately 21 nM). To understand the species selectivity of the UT2R, we investigated the binding site of ACT058362 and SB706375 in both hUT2R and rUT2R to explain the dramatically lower (approximately 400-fold) affinity of ACT058362 for rUT2R and the similar affinity (approximately 10 nM) of SB706375 for both UT2Rs. These studies used MembStruk and MSCDock to predict the UT2R structure and the binding site of ACT058362 and SB706375. Based on binding energies, we found two binding modes each with D130(3.32) as the crucial anchoring point (Ballesteros-Weinstein numbering given in superscript). We predict that ACT058362 (an aryl-amine-aryl or ANA ligand) binds in the transmembrane (TM) 3456 region, while SB706375 (an aryl-aryl-amine or AAN ligand) binds in the TM 1237 region. These predicted sites explain the known differences in binding of the ANA ligand to rat and human receptors, while explaining the similar binding of the AAN compound to rat and human receptors. Moreover the predictions explain currently available structure-activity relationship (SAR) data. To further validate the predicted binding sites of these ligands in hUT2R and rUT2R, we propose several mutations that would help define the structural origins of differential responses between UT2R of different species, potentially indicating novel UT2R antagonists with cross-species high affinity.

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Year:  2010        PMID: 20683923      PMCID: PMC3517062          DOI: 10.1002/cmdc.201000175

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  38 in total

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Journal:  J Comput Chem       Date:  2005-01-15       Impact factor: 3.376

3.  Predictions of CCR1 chemokine receptor structure and BX 471 antagonist binding followed by experimental validation.

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Journal:  J Biol Chem       Date:  2006-07-12       Impact factor: 5.157

4.  Prediction of protein side-chain rotamers from a backbone-dependent rotamer library: a new homology modeling tool.

Authors:  M J Bower; F E Cohen; R L Dunbrack
Journal:  J Mol Biol       Date:  1997-04-18       Impact factor: 5.469

5.  Urotensin-II receptor ligands. From agonist to antagonist activity.

Authors:  Paolo Grieco; Alfonso Carotenuto; Pietro Campiglia; Luciana Marinelli; Teresa Lama; Riccardo Patacchini; Paolo Santicioli; Carlo A Maggi; Paolo Rovero; Ettore Novellino
Journal:  J Med Chem       Date:  2005-11-17       Impact factor: 7.446

6.  Molecular dynamics simulation of unsaturated lipid bilayers at low hydration: parameterization and comparison with diffraction studies.

Authors:  S E Feller; D Yin; R W Pastor; A D MacKerell
Journal:  Biophys J       Date:  1997-11       Impact factor: 4.033

7.  The hydrophobic moment detects periodicity in protein hydrophobicity.

Authors:  D Eisenberg; R M Weiss; T C Terwilliger
Journal:  Proc Natl Acad Sci U S A       Date:  1984-01       Impact factor: 11.205

8.  Nonpeptidic urotensin-II receptor antagonists I: in vitro pharmacological characterization of SB-706375.

Authors:  Stephen A Douglas; David J Behm; Nambi V Aiyar; Diane Naselsky; Jyoti Disa; David P Brooks; Eliot H Ohlstein; John G Gleason; Henry M Sarau; James J Foley; Peter T Buckley; Dulcie B Schmidt; William E Wixted; Katherine Widdowson; Graham Riley; Jian Jin; Timothy F Gallagher; Stanley J Schmidt; Lance Ridgers; Lisa T Christmann; Richard M Keenan; Steven D Knight; Dashyant Dhanak
Journal:  Br J Pharmacol       Date:  2005-07       Impact factor: 8.739

9.  Prediction of the 3-D structure of rat MrgA G protein-coupled receptor and identification of its binding site.

Authors:  Jiyoung Heo; Nagarajan Vaidehi; John Wendel; William A Goddard
Journal:  J Mol Graph Model       Date:  2007-07-14       Impact factor: 2.518

10.  Unraveling the active conformation of urotensin II.

Authors:  Alfonso Carotenuto; Paolo Grieco; Pietro Campiglia; Ettore Novellino; Paolo Rovero
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

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  5 in total

1.  Selectivity and activation of dopamine D3R from molecular dynamics.

Authors:  Zhiwei Feng; Tingjun Hou; Youyong Li
Journal:  J Mol Model       Date:  2012-07-03       Impact factor: 1.810

2.  Predicted structures of agonist and antagonist bound complexes of adenosine A3 receptor.

Authors:  Soo-Kyung Kim; Lindsay Riley; Ravinder Abrol; Kenneth A Jacobson; William A Goddard
Journal:  Proteins       Date:  2011-04-12

3.  Elucidating glycosaminoglycan-protein-protein interactions using carbohydrate microarray and computational approaches.

Authors:  Claude J Rogers; Peter M Clark; Sarah E Tully; Ravinder Abrol; K Christopher Garcia; William A Goddard; Linda C Hsieh-Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-31       Impact factor: 11.205

4.  Characterizing and predicting the functional and conformational diversity of seven-transmembrane proteins.

Authors:  Ravinder Abrol; Soo-Kyung Kim; Jenelle K Bray; Adam R Griffith; William A Goddard
Journal:  Methods       Date:  2011-12-17       Impact factor: 3.608

5.  Predicted 3D structures of olfactory receptors with details of odorant binding to OR1G1.

Authors:  Soo-Kyung Kim; William A Goddard
Journal:  J Comput Aided Mol Des       Date:  2014-09-16       Impact factor: 3.686

  5 in total

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