PRESERVING VISION IN INHERITED AND AGE-RELATED RETINAL DEGENERATIONS
PRESERVING VISION IN INHERITED AND AGE-RELATED RETINAL DEGENERATIONS
批准号:
8362798
负责人:
ARTHUR J. OLSON
金额:
$3.0万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-05-01 至 2012-04-30
关键词:
AgonistBindingBinding SitesBiochemicalBiomedical ComputingBlindnessCollaborationsEye diseasesFree EnergyFundingGeneticGrantHumanInheritedLigand BindingLigandsNational Center for Research ResourcesOpsinPrincipal InvestigatorProteinsResearchResearch InfrastructureResourcesRetinal DegenerationRetinal PigmentsRouteSourceSpecificityUnited States National Institutes of HealthVertebrate PhotoreceptorsVisionage relatedcostdesigntool
中文摘要
这个子项目是许多利用资源的研究子项目之一
由NIH/NCRR资助的中心拨款提供。子项目的主要支持
而子项目的主要调查员可能是由其他来源提供的,
包括其它NIH来源。 列出的子项目总成本可能
代表子项目使用的中心基础设施的估计数量,
而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。
(A)目标
视网膜变性是严重眼病的主要遗传和年龄相关原因,
失明了解天然和合成激动剂的分子相互作用,
拮抗剂与视色素可以提供一种新的途径,
这种退化。 这项合作将利用支持网格的AutoLigand和AutoDock,
以及AutoDockTools进行计算,1)表征配体结合位点的
人视杆和视锥视蛋白。2)预测已知的结合模式和自由能
激动剂和反向激动剂; 3)使用AutoDock Tools探索新的反向激动剂
交互式Autoligand增强界面,帮助设计具有更高效力的配体,
的特异性 新的反向激动剂的疗效将通过生物化学研究进行验证
与人类视蛋白质的相互作用,以证明蛋白质配体相互作用。
英文摘要
This subproject is one of many research subprojects utilizing the resources
provided by a Center grant funded by NIH/NCRR. Primary support for the subproject
and the subproject's principal investigator may have been provided by other sources,
including other NIH sources. The Total Cost listed for the subproject likely
represents the estimated amount of Center infrastructure utilized by the subproject,
not direct funding provided by the NCRR grant to the subproject or subproject staff.
(A) OBJECTIVES
Retinal degeneration is a major genetic and age related cause of serious eye disease and
blindness. Understanding the molecular interactions of natural and synthetic agonists and
antagonists with the visual pigments can provide a new route to halting and possibly reversing
such degeneration. This collaboration will utilize grid-enabled AutoLigand and AutoDock, as
well as AutoDockTools to computationally, 1) characterize the ligand binding sites of the
human rod and cone opsin proteins. 2) predict the binding modes and free energies of known
agonists and inverse agonists and 3) explore new inverse agonists using AutoDock Tools
interactive Autoligand enhanced interface to help design ligands with increased potency and
specificity. The efficacy of the new inverse agonists will be validated using biochemical studies
with the human opsin proteins to demonstrate protein ligand interactions.
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