G-Protein Coupled Receptor (GPCR) Model Building, Refinement, and Ligand Docking

G-protein coupled receptors (GPCR) make up the largest family of proteins and also serve as targets for over 50% of drugs currently on the market. Characterizing the structure of GPCRs is therefore a valuable tool that allows for a novel approach to the development of therapeutic agents. However, because GPCRs are membrane proteins, structure determination of proteins in this family is a challenge for NMR studies, x-ray crystallography, and computational comparative modeling tools, which are often optimized for soluble proteins. Our lab is interested in developing tools specific for the structure determination of membrane proteins. Machine learning methods are being used to train bcl::align to perform sequence alignments optimized for transmembrane protein domains. In addition, the membrane protein-specific de novo folding algorithms and scoring functions in Rosetta (collectively called RosettaMembrane) provide the allow for high-resolution computational modeling of membrane proteins. These tools will be applied to our receptors of interest, mGluR5 and the human NPY4 receptor. Through diverse signaling pathways that modulate synaptic plasticity, metabotropic glutamate receptor subtype 5 (mGluR5) is involved in mammalian cognitive function and can be targeted in the development of new treatment strategies for disorders such as schizophrenia and fragile X syndrome. Agonists of the human neuropeptide Y4 (NPY4) receptor can potentially serve as therapeutics to treat obesity. Structure determination and ligand docking studies with new computational comparative modeling tools developed specifically for membrane proteins should uncover functionally important residues in these GPCRs that can be used to further drug development.


Further work involves comparative modeling of the prolactin releasing peptide receptor (PrRPR) and growth hormone secretagogue receptor (GHSR).  These are also implicated in obesity and metabolic disorders. These two receptors are endogenously activated by the prolactin releasing peptide (PrRP) and ghrelin, respectively. In order to determine the structural mechanism of activation, PrRP and ghrelin were first folded de novo using Rosetta in the presence of sparse NMR data (e.g., chemical shifts and NOEs) (link to Activity of PrRP paper by DeLuca et al). In the case of PrRP, the resulting ensemble of models were docked into the PrRP receptor using Rosetta (link to Ligand mimicking paper on PrRP by Rathmann et al).


A publication concerning similar work with the ghrelin peptide is forthcoming, supplementary files and protocol are already available tar-download.

Current Project Members: Darwin Fu , Georg Kuenze
Alumni Project Members: Elizabeth Dong , Stephanie DeLuca , Eric Dawson