DERIVING MOLECULAR MOTION FROM CRYOEM MAP

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 也许低温电子显微镜最突出的贡献是能够对大分子成像 在近乎本机条件下的程序集。然而，这样做的缺点是样本 通常是不同构象的大分子的混合物，反映了自然和 生物机器的内在行为。计算和生物化学方法已经 寻求分离这些单独的构象，允许加工和最终 不同构象的几种结构的重建。这将为我们提供一个 独一无二的机会将这些机器的结构动态可视化在一系列 快照，但没有回答关于运动的更基本的问题 与不同的构象相关联。

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. Perhaps the most outstanding contribution of cryoEM is the ability to image macromolecular assemblies under nearly native conditions. However, the drawback to this is that the sample is often a mixture of macromolecules in different conformations, reflecting the natural and intrinsic behavior of a biological machine. Computational and biochemical approaches have sought to isolate these individual conformations, allowing for the processing and eventual reconstruction of several structures in the different conformations. This will provide us with a unique opportunity to visualize the structural dynamics of these machines in a series of snapshots, but stops short of answering more fundamental questions about the motions associated with the different conformations.