MULTI-PATH SIMULATED ANNEALING FOR VIRUS PARTICLE RECONSTRUCTION

病毒粒子重建的多路径模拟退火

• 批准号: 7721124
• 负责人: Wah Chiu
• 金额: $ 1.62万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-12-01 至 2008-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7721124
• 关键词: Algorithms; Computer Retrieval of Information on Scientific Projects Database; Computer software; Funding; Grant; Image; Institution; Modeling; Research; Research Personnel; Residual state; Resolution; Resources; Simulate; Source; Structure; United States National Institutes of Health; Virion; nanometer; novel; particle; 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. The SAVR software package was developed for icosahedral virus particle reconstruction. This software has successfully solved several virus particle structures to sub-nanometer resolution. Continuous improvements are being made to make it more robust and universal. We have developed a novel multi-path simulated annealing (multi-path SA) algorithm within the EMAN framework which was used to minimize the residual of the cross common lines between the raw particle image and model projections. With this Monte Carlo algorithm, a consistency criterion was developed that reliably identifies correctly aligned particles vs. incorrectly aligned and low-quality particles.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 SAVR软件包被开发用于二十面体病毒颗粒重构。该软件已成功地解决了几个病毒颗粒结构，以亚纳米分辨率。正在不断改进，使其更加健全和普遍。我们已经开发了一种新的多路径模拟退火（多路径SA）算法内的EMAN框架，用于最大限度地减少残留的原始粒子图像和模型投影之间的交叉公共线。通过这种蒙特卡罗算法，开发了一种一致性标准，可以可靠地识别正确对齐的颗粒与不正确对齐和低质量的颗粒。