DETERMINATION OF THE STRUCTURES OF SYMMETRIC PROTEIN OLIGOMERS FROM NMR CHEMICAL
DETERMINATION OF THE STRUCTURES OF SYMMETRIC PROTEIN OLIGOMERS FROM NMR CHEMICAL
批准号:
8365870
负责人:
DAVID BAKER
金额:
$6.49万
依托单位:
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:
2011-09-01 至 2012-06-30
关键词:
AgreementBenchmarkingBiological ProcessBiologyChemicalsDataFundingFungal GenomeGrantMethodsMolecular WeightNational Center for Research ResourcesPerformancePlayPrincipal InvestigatorProteinsProtocols documentationPublishingResearchResearch InfrastructureResidual stateResolutionResourcesSolutionsSourceStructureSystemUnited States National Institutes of Healthcostdimernovel strategiesprotein oligomerrestraint
中文摘要
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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.
Symmetric protein dimers, trimers, and higher-order cyclic oligomers play key roles in many biological processes. However, structural studies of oligomeric systems by solution NMR can be difficult due to slow tumbling of the system and the difficulty in identifying NOE interactions across protein interfaces. Here, we present an automated method (RosettaOligomers) for determining the solution structures of oligomeric systems using only chemical shifts, sparse NOEs, and domain orientation restraints from residual dipolar couplings (RDCs) without a need for a previously determined structure of the monomeric subunit. The method integrates previously developed Rosetta protocols for solving the structures of monomeric proteins using sparse NMR data and for predicting the structures of both nonintertwined and intertwined symmetric oligomers. We illustrated the performance of the method using a benchmark set of nine protein dimers, one trimer, and one tetramer with available experimental data and various interface topologies. The final converged structures are found to be in good agreement with both experimental data and previously published high-resolution structures. The new approach is more readily applicable to large oligomeric systems than conventional structure-determination protocols, which often require a large number of NOEs, and will likely become increasingly relevant as more high-molecular weight systems are studied by NMR.
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