Three-dimensional Molecular Pattern Recognition

三维分子模式识别

• 批准号: 6699939
• 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/6699939
• 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 研究了大分子复合物的结构-功能关系 负责细胞活动。结构生物学的一个目标是获得 描述这些大分子机器在其不同的功能 国家及其结构环境。虽然可以将大的图像 大分子组装体、亚细胞结构甚至细胞， 的电子显微镜，分辨率限制所产生的地图最 通常排除了对这些重建的直接高分辨率解释。 我们建议开发一个分子模式识别系统， 以及分子在复杂结构环境中的位置。我们 我们将集中精力在简化行动系统上， 微管相关的组件。发展的紧密耦合 方法与应用这些生物学上高度重要的 将使用组件。通过这种方式，我们将立即获得反馈， 系统在实践中的表现，同时提供有价值的见解， 系统.对于每一步，计算机生成的模型系统也将被用作 开发和评估的工具。文档、教程和一个简单的 将开发使用界面。