Collaborative Research: Laplacian-Centered Poisson Solvers and Multilevel Summation Algorithms

合作研究：以拉普拉斯为中心的泊松求解器和多级求和算法

• 批准号: 0830582
• 负责人: Robert Skeel
• 金额: $ 0.2万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830582&HistoricalAwards=false
• 关键词: Collaborative; Research; Laplacian; Centered; Poisson

Solvent interactions play a critical role in determining the structure andfunction of biomolecular systems. However, accurate modeling is a challengingtask due to long-range correlations and vast numbers of solvent atoms and ions.For very large systems, one method for reducing this expense is the applicationof an implicit solvent model which replaces the explicit atoms and ions with adielectric continuum. One of the more accurate implicit solvent models isdescribed by a generalized Poisson equation or Poisson-Boltzmann equation withpoint charge source terms. Although the generalized Poisson approach isconsidered in very many cases to be sufficiently accurate, most current methodsfor approximating its solution have been deemed prohibitively expensive forvery large systems and for applications requiring rapid repetitive evaluation.This project centers on the creation and analysis of algorithms of unsurpassedeffectiveness for approximating the solution to the generalized Poissonequation (GPE) and its extensions. The approach involves solving for an"effective charge distribution" given by the Laplacian of the solutionto the GPE. The corresponding electrostatic potential can be recovered usinga fast N-body solver. Broader impact of this project will be realized throughthe incorporation of novel algorithms in simulation software. Better methodsand software in the hands of scientists will enable biomolecular simulation ofmuch larger systems with improved accuracy which will result in contributionsto society. In addition, this project provides an opportunity for a graduatestudent to engage in research that spans computer science, physical science,and mathematics.

溶剂相互作用在决定生物分子系统的结构和功能方面起着关键作用。 然而，由于溶剂原子和离子的长程相关性和大量的溶剂原子和离子，精确的建模是一项具有挑战性的任务，对于非常大的系统，减少这一费用的一种方法是应用隐式溶剂模型，用介电连续介质代替显式的原子和离子。一个更精确的隐式溶剂模型是用带有点电荷源项的广义Poisson方程或Poisson-Boltzmann方程描述的。虽然广义泊松方法在很多情况下被认为是足够准确的，但对于非常大的系统和需要快速重复计算的应用，目前大多数近似其解的方法都被认为是过于昂贵的。该方法涉及求解由GPE的解的拉普拉斯算子给出的“有效电荷分布”。 相应的静电势可以使用快速N体求解器恢复。 通过在仿真软件中加入新的算法，该项目将产生更广泛的影响。 更好的方法和软件在科学家手中将使生物分子模拟更大的系统与更高的准确性，这将导致对社会的贡献。 此外，该项目为研究生提供了一个从事计算机科学，物理科学和数学研究的机会。