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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 冷冻人的最杰出贡献也许是在几乎天然条件下对大分子组件进行成像的能力。然而，对此的缺点是样品通常是不同构象中的大分子的混合物，反映了生物机器的自然和内在行为。计算和生化方法试图隔离这些单独的构象，从而可以在不同构象中处理和最终重建几个结构。这将为我们提供一个独特的机会，可以在一系列快照中可视化这些机器的结构动力学，但缺乏回答有关与不同构型相关的动作的更多基本问题。