Enhanced 3D Processing of Spherical and Non-Spherical Virus Structures at High Resolution

高分辨率球形和非球形病毒结构的增强 3D 处理

• 批准号: 9986316
• 负责人: Dan Marinescu
• 金额: $ 67.5万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2002-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9986316&HistoricalAwards=false
• 关键词: Enhanced; 3D; Processing; Spherical; Non

ABSTRACT9986316Dan C. MarinescuPurdue UniversityEnhanced 3D Processing of Spherical and Non-Spherical Virus Structures at High Resolution Although advances in X-ray crystallography and NMR spectroscopy have made it possible to routinely obtain atomic resolution structures of small to medium sized biological macromolecules, there have not been equivalent advances in high resolution structural studies of large macromolecular complexes. For example, the structure determination of a virus by cryo-transmission-electron microscopy typically takes weeks or months to complete, produces relatively low resolution electron density maps, and has mainly been limited to particles with high symmetry. High resolution structures of such large complexes are essential for understanding cell biology. With support from the National Science Foundation, methods to increase the speed of three dimensional image reconstructions and to generalize the techniques to particles with low symmetry will be developed. These new computational techniques will take advantage of advances in image acquisition combined with high performance computing and parallel computer algorithms. A scaleable computing solution capable of coping not only with existing imaging technology but also with its projected evolution over the next decade will be developed. Parallel algorithms for the determination of the orientation of particle projections and for three-dimensional reconstruction will also be developed. Finally, algorithms and programs for detecting particle positions in electron micrographs will be improved. All of these programs will be developed for inexpensive clusters of personal computers. Development of these algorithms will provide biologists with a computationally fast method to obtain high resolution structures of large macromolecular complexes. A more complete understanding of life processes at the molecular level awaits high resolution analysis of hundreds if not thousands of such complexes. This award will also support the training of computer scientists in biological imaging.

【摘要】9986316普渡大学dan C. marines，球形和非球形病毒结构的高分辨率三维处理虽然x射线晶体学和核磁共振波谱学的进步使得常规获得小到中等大小生物大分子的原子分辨率结构成为可能，但在大型大分子复合物的高分辨率结构研究方面还没有相应的进展。例如，通过低温透射电子显微镜确定病毒的结构通常需要数周或数月才能完成，产生相对低分辨率的电子密度图，并且主要限于具有高对称性的粒子。这种大型复合体的高分辨率结构对于理解细胞生物学至关重要。在美国国家科学基金会的支持下，将开发提高三维图像重建速度的方法，并将该技术推广到低对称性粒子。这些新的计算技术将利用图像采集的进步，结合高性能计算和并行计算机算法。将开发一种可扩展的计算解决方案，不仅能够应对现有的成像技术，而且能够应对未来十年的预测发展。还将开发用于确定粒子投影方向和三维重建的并行算法。最后，将改进电子显微照片中检测粒子位置的算法和程序。所有这些程序都将为廉价的个人电脑集群开发。这些算法的发展将为生物学家提供一种计算快速的方法来获得大的大分子复合物的高分辨率结构。要在分子水平上对生命过程有一个更全面的了解，就需要对数百甚至数千个这样的复合体进行高分辨率分析。该奖项还将支持培养生物成像领域的计算机科学家。