DERIVING MOLECULAR MOTION FROM CRYOEM MAP

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 也许cryoEM最突出的贡献是能够在接近天然条件下成像大分子组装体。然而，这样做的缺点是，样品通常是不同构象的大分子的混合物，反映了生物机器的自然和内在行为。计算和生物化学方法试图分离这些单独的构象，允许处理和最终重建不同构象中的几种结构。这将为我们提供一个独特的机会，在一系列快照中可视化这些机器的结构动力学，但没有回答与不同构象相关的运动的更基本的问题。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.