Cryo-EM 3D Reconstruction of Flexible Particles
Cryo-EM 3D Reconstruction of Flexible Particles
批准号:
8693631
负责人:
Hemant D Tagare
金额:
$28.72万
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:
2011-07-01 至 2016-06-30
关键词:
AlgorithmsBayesian ModelingBenchmarkingCellsCodeComplexComputer softwareDataDicer EnzymeElectron MicroscopyEnvironmentEnzymesFreedomFreezingHeterogeneityHumanIceImageIndividualMacromolecular ComplexesMethodologyMethodsModelingMolecularMolecular ConformationNegative StainingNoiseProbability TheoryProcessPropertyPythonsRNARNA Interference PathwayRNA Polymerase IIRNA ProcessingShapesSignal TransductionSimulateStructural ModelsStructureTechniquesWritingbasecombatcryogenicsexpectationflexibilityhuman DICER1 proteinimage processingnovel strategiesparticlereconstructionsimulationsoundthree dimensional structure
中文摘要
描述(由申请人提供):单粒子重建(SPR)电子显微镜是一种用于获得近天然状态下大分子复合物3D结构的强大技术。SPR中的一个主要问题是,当大分子颗粒被冻结在玻璃冰中时,柔性引起多种构象。传统的SPR假设大分子粒子是刚性的,只有当所有粒子具有相同的结构时才能得到良好的重建。我们建议开发新的重建方法,完全消除刚性假设。这些方法可以重建连续柔性结构。提出了两类方法:(a)探索性分析方法,用于检测结构构象变化的存在并客观地确定最主要的柔性模式,以及(B)探索后柔性颗粒重建方法,用于详细重建已识别的柔性模式。这些方法是基于概率论和实际数据的初步结果表明,他们提供了显着更高的信噪比(SNR)重建,即使当数据SNR低至-25分贝。此外,我们的方法提供了一个简单的解释粒子的灵活性。我们将开发这些算法,并编写软件模块纳入SPARX冷冻EM处理环境。作为第一个应用程序,我们将使用该软件来处理负染色和冷冻电镜图像的人Dicer RNA加工酶。作为阳性和阴性对照,我们还将重建RNA聚合酶II和GroEL的结构。
英文摘要
DESCRIPTION (provided by applicant): Single-particle reconstruction (SPR) electron microscopy is a powerful technique for obtaining the 3D structure of macromolecular complexes in near-native states. A major problem in SPR is that flexibility gives rise to multiple conformations when the macromolecular particles are frozen in vitreous ice. Traditional SPR assumes that macromolecular particles are rigid, and gives good reconstructions only when all particles have the identical structure. We propose to develop new reconstruction methods which eliminate the rigidity assumption altogether. These methods can reconstruct a continuously flexible structure. Two classes of methods are proposed: (a) methods for exploratory analysis which detect the presence of structural conformational change and objectively determine the most dominant modes of flexibility, and (b) post- exploratory flexible particle reconstruction methods which reconstruct in detail the identified modes of flexibility. These methods are based on probability theory and preliminary results with actual data show that they offer significantly higher signal-to-noise ratio (SNR) reconstructions even when the data SNR is as low as -25db. Further, our methods provide a simple interpretation of particle flexibility. We will develop these algorithms and write software modules for incorporation in the SPARX cryo-EM processing environment. As a first application, we will use the software to process negative-staining and cryo-EM images of the human Dicer RNA-processing enzyme. As positive and negative controls, we will also reconstruct the structure of RNA Polymerase II and GroEL.
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会议论文
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海外基金