Multi-Resolution Docking Methods for Electron Microscopy

电子显微镜的多分辨率对接方法

• 批准号: 7685280
• 负责人: WILLY R WRIGGERS
• 金额: $ 27.4万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7685280
• 关键词: Accounting; Address; Algorithms; Architecture; Arts; Biological; Biological Neural Networks; Cells; Code; Collaborations; Communities; Complement; Computer Simulation; Computer software; DNA Sequence Rearrangement; DNA-Directed RNA Polymerase; Data; Data Set; Development; Discipline; Docking; Drug Design; Educational workshop; Electron Microscopy; Emerging Technologies; Environment; Goals; Grant; Health; Heterogeneity; Homology Modeling; Imagery; Individual; Internet; Laboratories; Least-Squares Analysis; Link; Maps; Methods; Modeling; Molecular; Molecular Structure; Motion; Motor; Myosin ATPase; Pattern; Pattern Recognition; Research; Research Personnel; Resolution; Resources; Retrieval; Sampling; Scientist; Shapes; Speed; Structure; System; Techniques; Time; Training; United States National Institutes of Health; Work; base; chaperonin; computer code; cryogenics; density; design; flexibility; image reconstruction; improved; innovation; insight; macromolecular assembly; molecular assembly/self assembly; molecular dynamics; nanometer; novel; open source; parallel computing; reconstruction; relating to nervous system; single molecule; software development; tool; virtual reality

DESCRIPTION (provided by applicant): Macromolecular assemblies are the basic functional units of biological cells; they furnish targets for drug design, as deficiencies in their architecture are frequently linked to health problems. The overall goal of the proposed research is the development of computational quantitative fitting tools for electron microscopy (EM) that combine low-resolution image reconstructions of large assemblies with complementary atomic resolution data of individual subunits for routine determination of the large-scale structure of biomolecular machines. Key questions to be addressed include: (i) How can one accurately identify geometric features of structural data that may serve as anchor points for rigid body and flexible matching? (ii) How can one take into account the conformational variability (heterogeneity) of molecular structures in the design of matching algorithms? (iii) Is a six-dimensional rigid-body search based on the classical cross-correlation coefficient sufficiently efficient for a real-time alignment of structures? (iv) How can one best disseminate our innovations to the global user community in the form of free open source software packages? We will use reduced models from pattern matching and neural networks for a coarse estimation of density maps and for determining suitable landmarks for the registration of multi-resolution data. Complementary to this indirect approach an exhaustive rigid body search will be performed in reciprocal space using parallel computing architectures (for computational speed) based in part on the correlation of the compared data sets (for accuracy). A computational laboratory supported by this project will be used extensively for software development and for fitting applications in EM. Collaborative efforts will include the refinement of myosin motors, GroEL chaperonins, and RNA polymerase assemblies. The results of these developments will be new computer codes that provide a comprehensible and flexible approach to the multi-resolution modeling of large assemblies. The algorithmic and methodological developments will be distributed freely through the established internet-based mechanisms employed for the Situs docking package.

描述(申请人提供)：大分子组件是生物细胞的基本功能单元；它们为药物设计提供靶标，因为它们的结构缺陷经常与健康问题联系在一起。拟议研究的总体目标是开发用于电子显微镜(EM)的计算定量拟合工具，该工具将大组件的低分辨率图像重建与单个亚基的互补原子分辨率数据相结合，用于常规确定生物分子机器的大规模结构。需要解决的关键问题包括：(I)如何准确地识别可能作为刚体和柔性匹配锚点的结构数据的几何特征？(2)如何在设计匹配算法时考虑到分子结构的构象可变性(异质性)？(Iii)基于经典互相关系数的六维刚体搜索对于结构的实时对齐是否足够有效？(4)怎样才能以免费开放源码软件包的形式向全球用户社区最好地传播我们的创新？我们将使用模式匹配和神经网络的简化模型来粗略估计密度图，并为多分辨率数据的配准确定合适的标志。作为对这一间接方法的补充，将使用并行计算体系结构(为了计算速度)在倒易空间中执行详尽的刚体搜索，部分地基于比较的数据集的相关性(为了准确性)。由该项目支持的计算实验室将被广泛用于EM的软件开发和适配应用程序。合作努力将包括肌球蛋白马达、GroEL伴侣蛋白和RNA聚合酶组装的精炼。这些发展的结果将是新的计算机代码，它为大型组件的多分辨率建模提供了一种可理解和灵活的方法。算法和方法的发展将通过已建立的基于互联网的机制免费分发，这些机制适用于SITUS对接程序包。