Scalable technologies for illuminating the druggable GPCR-ome
Scalable technologies for illuminating the druggable GPCR-ome
批准号:
8781263
负责人:
Bryan L. Roth
金额:
$40.95万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2017-07-31
关键词:
AddressArrestinsBinding SitesBiological AssayBrainCellsChemicalsCommunitiesCouplesDimethyl SulfoxideDockingEukaryotic CellFamilyFundingG Protein-Coupled Receptor SignalingG-Protein-Coupled ReceptorsGPR68 geneGenomeGoalsGrantHTR2A geneHomology ModelingHumanHuman Cell LineHuman GenomeKnockout MiceLeadLibrariesLigandsLipidsMammalian CellMethodsModelingOrphanPharmaceutical PreparationsProteinsProtocols documentationProtonsRattusReagentReceptor SignalingRelative (related person)Serotonin Receptor 5-HT2CSignal TransductionSpecificityStructureTechnologyTestingTherapeuticYeastsbasecell growthchemokinedrug developmentdrug discoveryhuman GPRC5C proteinin vivointerestluminescencemouse modelnew therapeutic targetpublic health relevancereceptortherapeutic targettoolweb services
中文摘要
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英文摘要
DESCRIPTION: G-Protein Coupled Receptors (GPCRs) represent both the largest class of signaling receptors in the human genome and the family most targeted by therapeutic drugs. Responding to ligands that vary from protons to bioamines to lipids to chemokines, their attractiveness for drug discovery reflects the importance of the signals they transduce and, as has become apparent with the determination of their structures, the intrinsic ligand- ability of their binding sites. Despite intense interest, most GPCRs remain sparsely annotated by chemical matter. In this grant we will take a two-pronged approach to overcome these difficulties. In Specific Aim 1 we will develop and validate scalable assays in yeast and mammalian cells with which to screen a library of 5321 drugs and reagents. In Specific Aim 2 we will develop and validate scalable computational screens against modeled structures of the orphan GPCRs, leveraging the empirical hits. By the end of the project period we anticipate validating and executing physical screens against 30 orphan GPCRs and producing computationally optimized lead-like compounds for 20.
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