A key factor in the signal transduction mechanisms underlying the actions of many drugs of abuse are the G-protein coupled receptors (GPCRs). Consequently, the structural and mechanistic information about these receptor systems is of major importance for understanding the mechanisms of action of drugs of abuse. Recently, the emerging evidence for GPCRs as homo- and hetero-oligomers suggests the need for the incorporation of these constructs into physiologically relevant functional models of these receptors. The overall goal of the present grant application is to develop, interpret and disseminate to the scientific community detailed information about the structural context of GPCR dimerization and its experimentally determined implication for mechanisms of drugs of abuse. We plan to use Bioinformatics methods to determine homo- and hetero-dimerization interfaces of GPCRs relevant to mechanisms of drugs of abuse, and to construct an Information Management System (IMS) designed to store such data and its cognate context in a manner that will facilitate the design and interpretation of pointed physiological and pharmacological experiments. Based on the recent evidence that some GPCRs interact with one type of receptors, but not another, the working hypothesis of this R21 phase of the present R21/R33 application is that dimerization interfaces may vary among different receptor subtypes. In order to identify the most likely dimerization interfaces of GPCRs involved in mechanisms of drugs of abuse, we will use a recently developed Bioinformatics approach that identifies correlated mutations on the receptor lipid-facing region from multiple sequence alignments of specific GPCR subfamilies. The predicted interfaces will then be used to guide the molecular modeling of GPCR homo- and hetero-dimers involved in mechanisms of drugs of abuse. The information available from each of these monomer-based models will guide key collaborative experiments that will serve to probe, validate, and eventually refine the GPCR dimeric models during the R33 phase of this R21/R33 application. Thus, the information about the dimerization interface obtained from real dimers, rather than the GPCR monomers used in the initial models, will populate the database of the IMS in the R33 phase. Several leading experts in the field of GPCRs have already expressed their enthusiasm and support for the work proposed here, as stated in the attached letters of collaboration, and will provide the pilot data for populating the experimental information and context in the IMS.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Exploratory/Developmental Grants (R21)
Project #
7R21DA017976-04
Application #
7489148
Study Section
Special Emphasis Panel (ZRG1-BDMA (01))
Program Officer
Hillery, Paul
Project Start
2005-04-01
Project End
2010-03-31
Budget Start
2007-08-15
Budget End
2008-03-31
Support Year
4
Fiscal Year
2007
Total Cost
$265,192
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Biology
Type
Schools of Medicine
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Filizola, Marta (2010) Increasingly accurate dynamic molecular models of G-protein coupled receptor oligomers: Panacea or Pandora's box for novel drug discovery? Life Sci 86:590-7
Khelashvili, George; Dorff, Kevin; Shan, Jufang et al. (2010) GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base. Bioinformatics 26:1804-5
Mobarec, Juan Carlos; Sanchez, Roberto; Filizola, Marta (2009) Modern homology modeling of G-protein coupled receptors: which structural template to use? J Med Chem 52:5207-16
Bortolato, A; Mobarec, J C; Provasi, D et al. (2009) Progress in elucidating the structural and dynamic character of G Protein-Coupled Receptor oligomers for use in drug discovery. Curr Pharm Des 15:4017-25
Taylor, Martin S; Fung, Ho K; Rajgaria, Rohit et al. (2008) Mutations affecting the oligomerization interface of G-protein-coupled receptors revealed by a novel de novo protein design framework. Biophys J 94:2470-81
Niv, Masha Y; Filizola, Marta (2008) Influence of oligomerization on the dynamics of G-protein coupled receptors as assessed by normal mode analysis. Proteins 71:575-86
Mobarec, Juan Carlos; Filizola, Marta (2008) Advances in the Development and Application of Computational Methodologies for Structural Modeling of G-Protein Coupled Receptors. Expert Opin Drug Discov 3:343-355
Guo, Wen; Urizar, Eneko; Kralikova, Michaela et al. (2008) Dopamine D2 receptors form higher order oligomers at physiological expression levels. EMBO J 27:2293-304
Skrabanek, Lucy; Murcia, Marta; Bouvier, Michel et al. (2007) Requirements and ontology for a G protein-coupled receptor oligomerization knowledge base. BMC Bioinformatics 8:177
Filizola, Marta; Wang, Simon X; Weinstein, Harel (2006) Dynamic models of G-protein coupled receptor dimers: indications of asymmetry in the rhodopsin dimer from molecular dynamics simulations in a POPC bilayer. J Comput Aided Mol Des 20:405-16

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