DERIVING MOLECULAR MOTION FROM CRYOEM MAP

从 CryOEM 图推导出分子运动

• 批准号: 8168569
• 负责人: Lydia E. Kavraki
• 金额: $ 2.15万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-15 至 2010-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8168569
• 关键词: Behavior; Biochemical; Biological; Computer Retrieval of Information on Scientific Projects Database; Cryoelectron Microscopy; Funding; Grant; Image; Individual; Institution; Maps; Molecular; Molecular Conformation; Motion; Process; Research; Research Personnel; Resources; Sampling; Series; Source; Structure; United States National Institutes of Health; macromolecular assembly; macromolecule; reconstruction

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.

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 或许，低温电子显微镜最突出的贡献是能够在近乎自然的条件下成像大分子组装。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个结构。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。