Three-dimensional Molecular Pattern Recognition

三维分子模式识别

• 批准号: 6849333
• 负责人: NIELS VOLKMANN
• 金额: $ 30.8万
• 依托单位: SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-02-01 至 2007-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6849333
• 关键词: Internet; actins; automated data processing; bioimaging /biomedical imaging; cell biology; cell component structure /function; computer data analysis; computer program /software; computer simulation; computer system design /evaluation; cytoskeleton; form /pattern perception; image processing; intermolecular interaction; macromolecule; mathematical model; mathematics; microtubules; model design /development; molecular assembly /self assembly; molecular dynamics; molecular shape; physical model; protein structure function; structural biology; tomography

DESCRIPTION (provided by applicant): A fundamental theme in cell biology centers on the structure-function relationships of the macromolecular complexes responsible for cellular events. One goal of structural biology is to obtain a description of these macromolecular machines in their different functional states and in their structural environment. While it is possible to image large macromolecular assemblies, sub-cellular structures and even cells with the aid of electron microscopy, the resolution restrictions of the resulting maps most often precludes direct high-resolution interpretation of these reconstructions. We propose to develop a molecular pattern recognition system for identification and location of molecules in the context of complex structural environments. We will concentrate our efforts on simplified systems of actin- and microtubule-related assemblies. A tight coupling of the development of the methodology with applications to these biologically highly significant assemblies will be employed . This way we will obtain immediate feedback as to how the system performs in practice while providing valuable insight into those systems. For each step, computer-generated model systems will also be used as a tool for development and evaluation. Documentation, tutorials and an easy to-use interface will be developed.

描述（由申请人提供）：细胞生物学的基本主题 以大分子复合物的结构-功能关系为中心 负责细胞事件。结构生物学的一个目标是获得 这些大分子机器的不同功能的描述 国家及其结构环境。虽然可以成像大 大分子组装体、亚细胞结构甚至细胞的帮助 对于电子显微镜，所得图谱的分辨率限制最大 通常妨碍对这些重建进行直接的高分辨率解释。 我们建议开发一种分子模式识别系统来识别 以及分子在复杂结构环境中的位置。我们 将把我们的努力集中在简化的行动和 微管相关组件。发展紧密结合 方法论及其在这些生物学上高度重要的应用 将采用组件。这样我们就可以获得即时反馈 系统在实践中的表现如何，同时提供对这些问题的宝贵见解 系统。对于每个步骤，计算机生成的模型系统也将用作 开发和评估工具。文档、教程和简单的 将开发使用界面。