G protein-coupled receptors (GPCR) comprise a membrane protein family and are the primary cellular sensors for external chemical stimuli. The non-sensory subset of the rhodopsin family GPCR still includes nearly 70 orphan receptors, for which endogenous signaling molecules (agonists) are not yet defined. The orphan GPCR, GPR88, plays an important role in motor coordination and learning, and has been genetically associated with schizophrenia and bipolar disorder. Identification of the natural agonist that activates GPR88 would open the door toward a better understanding of the molecular events that lead to these devastating psychiatric diseases. In this project, we will use our computational model of GPR88 to guide our identification of the native ligand of the orphan GPCR, GPR88. We will use the same approach to identify drug-like antagonists of GPR88 to launch a new paradigm in schizophrenia and bipolar disorder drug discovery efforts. In order to reach this objective, we will divide the approach into three specific aims. In the first we will extend and validate our preliminary model of GPR88 using the Rosetta LoopModeler module and docking studies of the currently known synthetic agonists to define testable hypotheses regarding amino acid roles in agonist recognition that we will test using site-directed mutagenesis. In the second we will utilize docking studies of candidate naturally-occurring amines to prioritize candidate natural agonists for experimental assays to deorphanize GPR88. In the third aim we will utilize a similar approach to prioritize and evaluate candidate drug-like molecules for assessment as GPR88 antagonists.

Public Health Relevance

G protein-coupled receptors (GPCR) comprise a membrane protein family and are the primary cellular sensors for external chemical stimuli. The orphan GPCR, GPR88, plays an important role in motor coordination and learning, and has been genetically associated with schizophrenia and bipolar disorder. Our proposed computational modeling-driven approach to identify the natural agonist that activates GPR88 would open the door toward a better understanding of the molecular events that lead to these devastating psychiatric diseases. Our analogous approach to identify drug-like antagonists (blockers) will pave the way for new psychiatric disease treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15MH109034-01A1
Application #
9171512
Study Section
Special Emphasis Panel (ZRG1-MDCN-R (86)A)
Program Officer
Driscoll, Jamie
Project Start
2016-06-05
Project End
2019-05-31
Budget Start
2016-06-05
Budget End
2019-05-31
Support Year
1
Fiscal Year
2016
Total Cost
$408,014
Indirect Cost
$108,016
Name
University of Memphis
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
055688857
City
Memphis
State
TN
Country
United States
Zip Code
38152
Gacasan, Samantha B; Baker, Daniel L; Parrill, Abby L (2017) G protein-coupled receptors: the evolution of structural insight. AIMS Biophys 4:491-527