Understanding the structural and functional differences between mouse thyrotropin-releasing hormone receptors 1 and 2
Laboratory of Biological Modeling, National Institute of Diabetes and Digestive, and Kidney Diseases, NIH, Bethesda, Maryland 20892-5646, USA. Proteins Structure Function and Bioinformatics
(Impact Factor: 2.63).
05/2008; 71(2):783-94. DOI: 10.1002/prot.21763
Multiple computational methods have been employed in a comparative study of thyrotropin-releasing hormone receptors 1 and 2 (TRH-R1 and TRH-R2) to explore the structural bases for the different functional properties of these G protein-coupled receptors. Three-dimensional models of both murine TRH receptors have been built and optimized by means of homology modeling based on the crystal structure of bovine rhodopsin, molecular dynamics simulations, and energy minimizations in a membrane-aqueous environment. The comparison between the two models showed a correlation between the higher flexibility and higher basal activity of TRH-R2 versus the lesser flexibility and lower basal activity of TRH-R1 and supported the involvement of the highly conserved W6.48 in the signaling process. A correlation between the level of basal activity and conformational changes of TM5 was detected also. Comparison between models of the wild type receptors and their W6.48A mutants, which have reversed basal activities compared with their respective wild types, further supported these correlations. A flexible molecular docking procedure revealed that TRH establishes a direct interaction with W6.48 in TRH-R2 but not in TRH-R1. We designed and performed new mutagenesis experiments that strongly supported these observations.
Available from: Catherine Louise Worth
- "Despite this conservation in overall architecture, the orientation and length of the helices vary to some extent ,  and considerable structural diversity is observed in the three intracellular and extracellular loops ,  that connect the seven TMHs . Furthermore, differences are also observed in the orientation of sidechains (including highly conserved amino acids) ,  and the presence and extent of helical distortions (kinks and bulges) . "
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ABSTRACT: Up until recently the only available experimental (high resolution) structure of a G-protein-coupled receptor (GPCR) was that of bovine rhodopsin. In the past few years the determination of GPCR structures has accelerated with three new receptors, as well as squid rhodopsin, being successfully crystallized. All share a common molecular architecture of seven transmembrane helices and can therefore serve as templates for building molecular models of homologous GPCRs. However, despite the common general architecture of these structures key differences do exist between them. The choice of which experimental GPCR structure(s) to use for building a comparative model of a particular GPCR is unclear and without detailed structural and sequence analyses, could be arbitrary. The aim of this study is therefore to perform a systematic and detailed analysis of sequence-structure relationships of known GPCR structures.
Available from: Graziella Ranghino
- "This probably arises because GPCR models are always obtained from the rhodopsin X-ray structure, where TM7 is stabilized by retinal, its bound ligand. However, in a recently published paper, Deflorian and co-workers reported that in their MD simulations of thyrotropin-releasing hormone receptor models (THR-R1 and THR-R2), no restraints were required to preserve the α-helical secondary structure of the TM segments . "
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ABSTRACT: GPR17 is a G-protein-coupled receptor located at intermediate phylogenetic position between two distinct receptor families: the P2Y and CysLT receptors for extracellular nucleotides and cysteinyl-LTs, respectively. We previously showed that GPR17 can indeed respond to both classes of endogenous ligands and to synthetic compounds active at the above receptor families, thus representing the first fully characterized non-peptide "hybrid" GPCR. In a rat brain focal ischemia model, the selective in vivo knock down of GPR17 by anti-sense technology or P2Y/CysLT antagonists reduced progression of ischemic damage, thus highlighting GPR17 as a novel therapeutic target for stroke. Elucidation of the structure of GPR17 and of ligand binding mechanisms are the necessary steps to obtain selective and potent drugs for this new potential target. On this basis, a 3-D molecular model of GPR17 embedded in a solvated phospholipid bilayer and refined by molecular dynamics simulations has been the first aim of this study. To explore the binding mode of the "purinergic" component of the receptor, the endogenous agonist UDP and two P2Y receptor antagonists demonstrated to be active on GPR17 (MRS2179 and cangrelor) were then modeled on the receptor.
Molecular dynamics simulations suggest that GPR17 nucleotide binding pocket is similar to that described for the other P2Y receptors, although only one of the three basic residues that have been typically involved in ligand recognition is conserved (Arg255). The binding pocket is enclosed between the helical bundle and covered at the top by EL2. Driving interactions are H-bonds and salt bridges between the 6.55 and 6.52 residues and the phosphate moieties of the ligands. An "accessory" binding site in a region formed by the EL2, EL3 and the Nt was also found.
Nucleotide binding to GPR17 occurs on the same receptor regions identified for already known P2Y receptors. Agonist/antagonist binding mode are similar, but not identical. An accessory external binding site could guide small ligands to the deeper principal binding site in a multi-step mechanism of activation. The nucleotide binding pocket appears to be unable to allocate the leukotrienic type ligands in the same effective way.
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ABSTRACT: The aim of SDMA is the channel reuse within a mobile radio cell
through spatial filtering techniques exploiting the different directions
of arrival (DOAs) of the user signals. The performance of
high-resolution DOA estimation algorithms may suffer from model errors
introduced by diffuse multipath propagation. We present a robust SDMA
system concept based on the estimation of spatial covariance matrices
rather than of DOAs, therefore being immune to phenomena like diffuse
multipath and/or high angular spread
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