Identification of short functional motifs as potential drug targets for HIV
Identification of short functional motifs as potential drug targets for HIV
批准号:
7632276
负责人:
MARTIN R SCHILLER
金额:
$1.75万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-15 至 2009-07-31
关键词:
Active SitesAffectAmino Acid MotifsAutoimmune ProcessBindingBinding SitesBiological AssayCD4 Lymphocyte CountCellsClassificationCo-ImmunoprecipitationsCollaborationsCollectionConsensusConsensus SequenceDNADatabasesDimerizationDrug Delivery SystemsEnzymesEpidemicFinlandGoalsHIVHIV InfectionsHIV IntegraseHIV ProteaseHIV-1ITIMInternetInterventionLeadLettersLife Cycle StagesLipidsLiteratureMapsMembrane ProteinsMutagenesisMutateMutationNucleic AcidsPeptide HydrolasesPharmaceutical PreparationsPlasmaPost-Translational Protein ProcessingProcessProtein BindingProteinsRNA-Directed DNA PolymeraseResearch InfrastructureResearch PersonnelResistanceRetroviridaeStructureSurfaceSymptomsSyndromeSystemTestingTreatment ProtocolsUniversitiesViralViral GenomeVirusVirus Diseasesarginylarginineclinically significantenv Gene Productsfollow-upnew therapeutic targetplatform-independentprotein structurepublic health relevancerecombinant virusresearch studysmall moleculesrc Homology Region 2 Domainthree dimensional structuretooltraffickingweb site
中文摘要
描述(申请人提供):自身免疫缺陷综合症(艾滋病)是由艾滋病毒逆转录病毒引起的,是一种致命的世界性流行病。病毒使用的一个有效策略是劫持短的功能基序。这些基序是不同HIV蛋白上的共同序列,是宿主蛋白作用于病毒感染和复制的结合部位或目标。例如,HIV包膜多蛋白(Env)包含一个短的共识基序(Arg-x-Lys/Arg-Arg;“x”是任何残基),供宿主蛋白酶Furin切割。识别短功能基序的主要限制之一是艾滋病毒研究人员缺乏系统的方法和简单的可及性。我们的跨学科团队已经建立了一个Motif数据库和独立于平台的网络工具Minimtif Miner(MnM),它可以识别蛋白质查询中的短基序共识序列(少于15个残基),从而识别这些蛋白质(http://mmm.engr.unconn.edu/).)的新潜在功能其中许多共同的序列存在于HIV蛋白中。为了便于研究HIV蛋白中的短功能基序,我们建议提供一个免费的新的网络系统基础设施,将蛋白质基序的信息与HIV分离株之间的序列保守性和HIV蛋白的3D结构相结合,以使HIV研究人员能够探索HIV蛋白中的新功能。短的功能基序为干预病毒生命周期提供了过多的潜在目标,但尚未得到彻底探索(目标1和2)。这项提议的第二个目标是测试一些更令人兴奋的主题预测。将通过对重组病毒中的基序进行突变,测试突变对病毒感染和复制的影响,然后分析预测基序的直接功能(例如与另一种蛋白质的相互作用;目标3)来验证艾滋病毒蛋白质中的共识基序。公共卫生相关性:该项目提供了一个关键工具,帮助了解艾滋病毒在细胞内感染和复制的过程。拟议的实验可能会确定用于治疗艾滋病毒感染的新的先导化合物。
英文摘要
DESCRIPTION (provided by applicant): Autoimmune Deficiency Syndrome (AIDS) is caused by the HIV retrovirus and is a deadly worldwide epidemic. One efficient strategy that viruses use is to hijack short functional motifs. These motifs are consensus sequences on different HIV proteins that are the binding sites or targets that host proteins act on to allow viral infection and replication. For example, the HIV envelope polyprotein (Env) contains a short consensus motif (Arg-x-Lys/Arg-Arg; "x" is any residue) for cleavage by the host protease, Furin. One of the major limitations in identifying short functional motifs is the lack of a systematic approach and simple accessibility for HIV researchers. Our cross-disciplinary team has built Minimotif Miner (MnM), a motif database and platform-independent web-tool that identifies short motif consensus sequences (less that 15 residues) in protein queries and thus new potential functions in these proteins (http://mmm.engr.unconn.edu/). Many of these consensus sequences are present in HIV proteins. To facilitate the study of short functional motifs in HIV proteins, we proposed to provide a free new web system infrastructure that integrates information for protein motifs with sequence conservation among HIV isolates and 3D structures of HIV proteins to allow HIV researchers to explore new functions in HIV proteins. Short functional motifs provide a plethora of potential targets for intervention in the viral life-cycle that have not been thoroughly explored (Aims 1 and 2). A second goal of this proposal is to test some of the more exciting motif predictions. Consensus motifs in HIV proteins will be validated by mutating the motif in recombinant viruses, testing for the effect of the mutation on viral infection and replication, and then assaying the direct function of the predicted motif (e.g. interaction with another protein; aim 3). PUBLIC HEALTH RELEVANCE: This project provides a key tool to help understand the process by which HIV infects and replicates within cells. The proposed experiments are likely to identify new lead compounds for treating HIV infection.
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