C ALPHA CHAIN TRACE BASED ON CRYOEM MAPS

基于 CryOEM 图的 C α 链追踪

• 批准号: 7357814
• 负责人: MARC L BAKER
• 金额: $ 0.75万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-12-01 至 2006-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7357814
• 关键词: ALPHA; CHAIN; TRACE; BASED; CRYOEM

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. We aim to develop a novel framework for semi- to fully- automated model building from a cryoEM map at intermediate resolution. This methodology is based on computing a simplified, geometric representation of the cryoEM map, known as the skeleton. The geometry and topology of the skeleton reflect important shape and connectivity information of the density map, which in turn enables the possibility of automating the identification of secondary structure elements and building of pseudo-atomic protein models within one coherent framework.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。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。所列机构为中心，不一定是研究者所在机构。我们的目标是开发一个新的框架，半到全自动模型建设从cryoEM地图在中间分辨率。该方法基于计算cryoEM图的简化几何表示，称为骨架。骨架的几何形状和拓扑结构反映了密度图的重要形状和连通性信息，这反过来又使得在一个连贯的框架内自动识别二级结构元素和构建伪原子蛋白质模型成为可能。