Literature DB >> 17168789

Membrane interactive alpha-helices in GPCRs as a novel drug target.

Wataru Nemoto1, Hiroyuki Toh.   

Abstract

G-Protein Coupled Receptors (GPCRs) are one of the most important targets for pharmaceutical drug design. Over the past 30 years, mounting evidence has suggested the existence of homo and hetero dimers or higher-order complexes (oligomers) that are involved in signal transduction and some diseases. The number of reports describing GPCR oligomerization has increased, and in 2003, the organization of mouse rhodopsin into two-dimensional arrays of dimers was determined by an atomic force microscopic analysis. The analysis of the mouse rhodopsin complex has enabled us to discuss the oligomerization based on structural data. Although many unsolved problems still remains, the idea that GPCRs directly interact to form oligomers has been gradually accepted. One of the recent findings in the GPCR investigations is the clarification of the mechanisms of GPCR oligomerization at a molecular level. Most of these studies have suggested the importance of transmembrane alpha-helices for GPCR oligomerization. In this review, we will first summarize the importance of GPCR oligomerization and the functions of GPCRs. Then, we will explain the involvement of transmembrane alpha-helices in the oligomerization and a drug design strategy that targets these regions for GPCR oligomerization. Considering the current drug design methods, which are based on the modification of the protein-protein interactions of soluble regions of proteins, a "peptide mimic approach" that targets the transmembrane alpha-helices constituting the interfaces would be promising in drug discovery for GPCR oligomerization. For that purpose, we must know the positions of the interfaces. However, problems specific to membrane proteins have made it difficult to identify the positions of the interfaces experimentally. Therefore, information about the interfaces predicted by bioinformatics approaches is valuable. At the end of this review, several bioinformatics approaches toward interface prediction for oligomerization are introduced. The benefits and the pitfalls of these approaches are also discussed.

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Year:  2006        PMID: 17168789     DOI: 10.2174/138920306779025657

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  8 in total

1.  Structures of the CXCR4 chemokine GPCR with small-molecule and cyclic peptide antagonists.

Authors:  Beili Wu; Ellen Y T Chien; Clifford D Mol; Gustavo Fenalti; Wei Liu; Vsevolod Katritch; Ruben Abagyan; Alexei Brooun; Peter Wells; F Christopher Bi; Damon J Hamel; Peter Kuhn; Tracy M Handel; Vadim Cherezov; Raymond C Stevens
Journal:  Science       Date:  2010-10-07       Impact factor: 47.728

Review 2.  Increasingly accurate dynamic molecular models of G-protein coupled receptor oligomers: Panacea or Pandora's box for novel drug discovery?

Authors:  Marta Filizola
Journal:  Life Sci       Date:  2009-05-22       Impact factor: 5.037

3.  Comparative docking study of anibamine as the first natural product CCR5 antagonist in CCR5 homology models.

Authors:  Guo Li; Kendra M Haney; Glen E Kellogg; Yan Zhang
Journal:  J Chem Inf Model       Date:  2009-01       Impact factor: 4.956

4.  Interface Prediction for GPCR Oligomerization Between Transmembrane Helices.

Authors:  Wataru Nemoto; Akira Saito
Journal:  Methods Mol Biol       Date:  2021

Review 5.  Methods used to study the oligomeric structure of G-protein-coupled receptors.

Authors:  Hui Guo; Su An; Richard Ward; Yang Yang; Ying Liu; Xiao-Xi Guo; Qian Hao; Tian-Rui Xu
Journal:  Biosci Rep       Date:  2017-04-20       Impact factor: 3.840

6.  A Web Server for GPCR-GPCR Interaction Pair Prediction.

Authors:  Wataru Nemoto; Yoshihiro Yamanishi; Vachiranee Limviphuvadh; Shunsuke Fujishiro; Sakie Shimamura; Aoi Fukushima; Hiroyuki Toh
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-24       Impact factor: 6.055

7.  Isolated Toll-like receptor transmembrane domains are capable of oligomerization.

Authors:  James I Godfroy; Mohammad Roostan; Yurii S Moroz; Ivan V Korendovych; Hang Yin
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

8.  DOR - a Database of Olfactory Receptors - Integrated Repository for Sequence and Secondary Structural Information of Olfactory Receptors in Selected Eukaryotic Genomes.

Authors:  Balasubramanian Nagarathnam; Snehal D Karpe; Krishnan Harini; Kannan Sankar; Mohammed Iftekhar; Durairaj Rajesh; Sadasivam Giji; Govidaraju Archunan; Veluchamy Balakrishnan; M Michael Gromiha; Wataru Nemoto; Kazhuhiko Fukui; Ramanathan Sowdhamini
Journal:  Bioinform Biol Insights       Date:  2014-06-12
  8 in total

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