Multiscale Macromolecular Assembly Pathways via Algebraic Combinatorics

通过代数组合的多尺度大分子组装途径

• 批准号: 0714912
• 负责人: Meera Sitharam
• 金额: $ 54.87万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0714912&HistoricalAwards=false
• 关键词: Multiscale; Macromolecular; Assembly; Pathways; via

Icosahedral viral shell assembly starting from identical protein monomers is an outstanding but poorly understood example of symmetric macromolecularself-assembly occuring in nature. We propose to develop and biochemically validate a novel multiscale mathematical and computational model and associatedsoftware tools to answer focused questions about viral shell assembly pathways. The proposed approach is based on 3 novel ingredients. (i) Formalization of carefully focused questions about the structureof assembly pathways, which depend only on static geometric and symmetry constraints. Avoidance of dynamics facilitates computational tractability and an intuitive theory of pathway structure.(ii) Development of a modular, two-scale virus assembly model that makes the mathematics transparent and leads to new directions in geometric complexity and algebraic combinatorics.(iii)Independent biochemical validation of the 2 separate scales of the model, using known data as well as new experiments.An array of applications in nanoscience and engineering, biosensor and gene therapy follow from effective models of symmetric macromolecular assembly pathways. Such models would additionally help arrest viral self-assembly and hence numerous plant and animal diseases. Opensource software built atop the PI's FRONTIER geometric constraint solving opensource software suite, and benchmark virus data will be developed for prediction and visualization of self-assembly pathways and for rigorous comparisons. The grant will foster a closely interacting, interdisciplinary group of students and will expose each of them to research in mathematics, structural biology, theoretical computer science, algorithms and software development. Outreach is planned via an interdisciplinary workshop at DIMACS or at IMA and in university press releases.

二十面体病毒壳从相同的蛋白质单体开始组装是自然界中发生的对称大分子自组装的一个突出但知之甚少的例子。我们建议开发和生物化学验证一种新的多尺度数学和计算模型以及相关的软件工具，以回答有关病毒壳组装途径的问题。所提出的方法是基于3个新的成分。(i)形式化的仔细集中的问题的结构组装路径，这只依赖于静态几何和对称约束。避免动力学有利于计算的易处理性和路径结构的直观理论。(ii)开发一个模块化的双尺度病毒组装模型，使数学透明，并导致几何复杂性和代数组合学的新方向。（iii）利用已知数据和新的实验对模型的两个不同尺度进行独立的生物化学验证。对称大分子组装途径的有效模型在纳米科学和工程、生物传感器和基因治疗中有一系列应用。这种模型还有助于阻止病毒的自我组装，从而阻止许多植物和动物疾病。建立在PI的FRONTIER几何约束解决开源软件套件之上的开源软件和基准病毒数据将被开发用于自组装途径的预测和可视化以及严格的比较。该补助金将培养一个密切互动的跨学科学生群体，并使他们每个人都能接触到数学、结构生物学、理论计算机科学、算法和软件开发方面的研究。计划通过在DIMACS或IMA的跨学科研讨会和大学新闻稿进行宣传。