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Computation for Structural Biology: Tools to Enable Dynamic 3-D Reconstruction of Time-varying Viral Structures

Computation for Structural Biology: Tools to Enable Dynamic 3-D Reconstruction of Time-varying Viral Structures
结构生物学计算:实现时变病毒结构动态 3D 重建的工具
批准号:
0098156
负责人:
Peter Doerschuk
金额:
$25.12万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-07-15 至 2005-12-31

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中文摘要
翻译
建议#0098156普渡研究基金会Doerschuk,Peter CA计算结构生物学的关键挑战是确定病毒的三维结构,特别是三维结构的动态变化,这对理解病毒的功能至关重要。这些信息对于合理设计抗击病毒感染的药物以及将病毒用于其他目的(例如,将药物作为向特定器官定向递送药物的载体)至关重要。解决这些问题涉及到开发、分析、实现和使用两个数值计算问题的新算法:全局最优化和多维二次曲面。研究人员通过寻找作为实验数据和预测值的函数的代价的全局最小值来计算三维结构,并量化数据和数据的预测值之间的差异。预测器的评估需要多维求积,它是描述病毒的三维结构和数据收集过程的任何未知方面的参数的函数,并且最小化是关于这些参数的。该方法的性能受到全局优化和求积工具的限制,因此这些工具是本研究的重点。关键的全局优化问题是利用由于傅立叶变换的存在而在成本中的数据和参数的多尺度结构,以及在由于嵌入求积而在成本评估中的精度和计算成本之间的权衡。关键的多维求积问题是不寻常的被积函数和积分区域,例如,在定义三维旋转的三个欧拉角上积分具有二十面体对称性的三个变量的函数。
英文摘要
Proposal #0098156Purdue Research FoundationDoerschuk, Peter CA key challenge in computational structural biology is the determination of the 3-D structure of a virus, andespecially dynamical changes in 3-D structure which are central to understanding the function of the virus. This information is central to rational design of drugs to combat viral infections and to the use of viruses for other purposes, e.g., as vehicles for the targeted delivery of drugs to specific organs. Solving these problems involves the development, analysis, implementation and use of new algorithms for two numerical computation problems, global optimization and multidimensional quadrature.The investigators compute a 3-D structure by locating the global minimum of a cost which is a function of experimental data and of a predictor, and which quantitates the difference between the data and the prediction of the data. The predictor, whose evaluation requires multidimensional quadrature, is a function of parameters describing the 3-D structure of the virus and any unknown aspects of the data collection process and the minimization is with respect to these parameters. Performance of the approach is limited bythe global optimization and quadrature tools and therefore these tools are the foci of this research. Key globaloptimization issues are exploiting the multi-scale structure of the data and parameters in the cost due to the presence of Fourier transforms and the tradeoff between accuracy and computational expense in the evaluation of the cost due to embedded quadratures. Key multidimensional quadrature issues are the unusual integrands and regions of integration, e.g., to integrate a function of three variables with icosahedral symmetry over the three Euler angles that define a 3-D rotation.
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AF:CIF:Small:Computational structural biology: Reconstruction and understanding for heterogeneous biological macro molecular complexes based on electron microscopy images
  • 批准号:
    1217867
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.77万
  • 财政年份:
    2012
  • 负责人:
    Peter Doerschuk
  • 依托单位:
Collaborative Research: CDI-Type II: Discovery of Succinct Dynamical Relationships in Large-Scale Biological Data Sets
  • 批准号:
    0836656
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.0万
  • 财政年份:
    2008
  • 负责人:
    Peter Doerschuk
  • 依托单位:
ITR: Collaborative Research: New Approaches to Experimental Design and Statistical Analysis of Genomic and Structural Biologic Data from Multiple Sources
  • 批准号:
    0735297
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    Peter Doerschuk
  • 依托单位:
ITR: Collaborative Research: New Approaches to Experimental Design and Statistical Analysis of Genomic and Structural Biologic Data from Multiple Sources
  • 批准号:
    0325544
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $79.2万
  • 财政年份:
    2003
  • 负责人:
    Peter Doerschuk
  • 依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: