Dynamic Mechanisms of GPCRs Targeted by Drugs of Abuse
Dynamic Mechanisms of GPCRs Targeted by Drugs of Abuse
批准号:
8661734
负责人:
Marta Filizola
金额:
$38.14万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-06-15 至 2017-05-31
关键词:
Adverse effectsAgonistAnalgesicsApplications GrantsBehavioralBindingBiophysicsCell membraneCerealsCollaborationsCrimeDataDevelopmentDrug AddictionDrug abuseEnsureEnvironmentEquilibriumFamilyFundingFutureG-Protein-Coupled ReceptorsGoalsHealthHomoIn VitroLaboratoriesLeadLettersLigand BindingLigandsLiteratureManagement Information SystemsMeasurableMediatingMembraneModelingMolecularMolecular ConformationMolecular ModelsOpioidPathway interactionsPharmaceutical PreparationsPhenotypePhosphorylationPhysiologicalPlagueProductivityProteinsPublic HealthReceptor SignalingResearchResolutionRoleScientistSignal TransductionSocietiesStructureSuggestionSystemTechniquesTherapeuticUnited StatesValidationWorkaddictionbasecostdesensitizationdrug of abusein vivoinsightknowledge basemembermolecular dynamicsmolecular modelingmu opioid receptorsnovel therapeuticsopioid abuseprotein protein interactionreceptorreceptor bindingreceptor functionresearch studyresponsescreeningstructural biologytheoriestraffickingvirtualweb interface
中文摘要
描述(由申请人提供):仅在美国就有超过200万人滥用阿片类止痛药,对这些药物的成瘾是一个重大的公共卫生问题。μ阿片受体(莫尔)是G蛋白偶联受体(GPCR)家族的成员,其主要介导临床使用的基于阿片的镇痛剂的作用。基于过去几十年的大量体外和体内研究,越来越清楚的是阿片配体可以产生不同的信号传导、磷酸化、脱敏和莫尔的内化,这对其生理反应具有重要意义,包括镇痛耐受的发展。最近的建议,莫尔寡聚化可以调节受体结合,信号传导,和/或运输进一步复杂化我们的理解MOR介导的功能。本申请中提出的研究的总体目标是揭示在莫尔下观察到的功能选择性的分子机制。该信息对于确保将莫尔信号传导向所需的治疗途径进行微调但远离介导不良副作用的那些,最终目标是发现非成瘾性镇痛剂是重要的。在这个补助金申请中提出的计算研究利用了理论和实验的前沿发展,以前所未有的分子细节水平获得严格的机制洞察力,进入膜中莫尔的结构,时空组织和动力学,从而拓宽了当前对莫尔偏激动的理解。具体而言,我们将贡献结构和动态信息的稀疏填充状态的莫尔,目前是不可能的或难以检索的实验,从而产生可检验的假设,如何在分子水平上,不同的阿片类药物诱导差异寡聚化和信号的莫尔,导致特定的行为效应的药物。通过与独立资助的实验室合作,对这些计算预测进行实验验证,将促进我们目前对莫尔功能基本机制的理解,并为针对药物滥用和成瘾的新治疗策略铺平道路。从该应用程序中产生的数据将被添加到GPCR寡聚化的其他相关最新信息中,并进一步填充我们最近部署的GPCR寡聚化知识库系统,以继续促进和支持从事药物滥用GPCR的计算和实验科学家之间的富有成效的合作。
英文摘要
DESCRIPTION (provided by applicant): With over 2 million people in the United States alone known to abuse opioid-based pain medications, addiction to these drugs represents a significant public health concern. The mu-opioid receptor (MOR) is the member of the G protein-coupled receptor (GPCR) family that primarily mediates the actions of clinically used opioid- based analgesics. Based on extensive in vitro and in vivo work over the past decades, it has become increasingly clear that opioid ligands can produce different signaling, phosphorylation, desensitization, and internalization of MOR, with major implications for its physiological responses, including the development of analgesic tolerance. The recent suggestion that MOR oligomerization can modulate receptor binding, signaling, and/or trafficking further complicates our understanding of MOR-mediated function. The overall goal of the research proposed in this application is to reveal the molecular mechanisms underlying the observed functional selectivity at MOR. This information is important to ensure the fine-tuning of MOR signaling towards desired therapeutic pathways but away from those mediating adverse side effects, with the ultimate goal of discovering non-addictive analgesic agents. The computational research proposed in this grant application takes advantage of cutting-edge developments in theory and experiments to obtain rigorous mechanistic insight, at an unprecedented level of molecular detail, into the structure, spatio-temporal organization, and dynamics of MOR in the membrane, thus broadening current understanding of MOR biased agonism. Specifically, we will contribute structural and dynamic information regarding sparsely-populated states of MOR that are currently impossible or difficult to retrieve experimentally, thereby generating testable hypotheses of how, at the molecular level, different opioids induce differential oligomerization and signaling of MOR, leading to the specific behavioral effects of the drugs. Experimental validation of these computational predictions, to be attained through collaborations with independently funded laboratories, will advance our current understanding of fundamental basic mechanisms of MOR function, and pave the way to novel therapeutic strategies against drug abuse and addiction. The data that will emerge from this application will be added to other relevant recent information on GPCR oligomerization, and further populate our recently deployed GPCR-Oligomerization Knowledge Base system to continue to promote and support productive collaborations between computational and experimental scientists working on GPCRs involved in drug abuse.
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会议论文
Molecular and Dynamic Insights into the Function of GPCRs Involved in Drug Abuse
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依托单位:
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