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Collaborative Research: Boundary Integral Simulations for Solvent Effects in Protein Structure and Dynamics

合作研究：蛋白质结构和动力学中溶剂效应的边界积分模拟

基本信息

批准号：
1418957
负责人：
Weihua Geng
金额：
$ 11.4万
依托单位：
Southern Methodist University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1418957&HistoricalAwards=false
关键词：
Collaborative Research Boundary Integral Simulations

项目摘要

Proteins are large biomolecules each consisting of a unique sequence of amino acids with a complex three-dimensional structure. Proteins perform many essential functions in living organisms, and some diseases are associated with improper protein structure. Hence there is great interest among biomedical researchers in understanding the structure, dynamics, and function of proteins. In their natural environment proteins are surrounded by water with dissolved salt; the protein/solvent interactions are critical to proper function in the organism. Laboratory experiments are used to study these protein/solvent interactions, but computer simulations are also increasingly employed to complement the experiments. The investigators will use their expertise in computational mathematics to develop improved numerical algorithms and software for computing protein/solvent interactions, with potential impact on areas such as protein folding and synthetic drug design. Several applications will be studied in collaboration with bioscientists. The software developed will be posted in open source format on a public website and will be installed in a widely distributed molecular simulation software package for use by bio-computational researchers. The project will train a postdoc and a graduate student in this important branch of scientific research. The project will develop improved numerical algorithms and software for computing electrostatic solvent effects which play a key role in determining protein structure, dynamics, and function. Computing these effects is challenging, and implicit solvent models based on the Poisson-Boltzmann (PB) equation for the electrostatic potential are a popular approach to reducing the cost. However, grid-based PB simulations encounter difficulties due to the singular point charges representing the protein, the complex geometry and discontinuous dielectric constant across the molecular surface, and the unbounded computational domain. In previous NSF-supported research, the investigators developed a new treecode-accelerated boundary integral (TABI) potential solver with improved accuracy and efficiency, low memory usage, and straightforward parallelization. The current project has the following components. 1. (algorithm development) The investigators will extend the current TABI potential solver to compute the electrostatic solvation forces needed for molecular dynamics simulations. This requires careful discretization of singular integrals representing the induced charge on the molecular surface separating the low-dielectric protein domain from the high-dielectric solvent domain. 2. (parallel computing) The investigators will develop a new parallel TABI solver for graphics processing units (GPUs), taking advantage of the treecode's low memory and communication requirements. 3. (biological applications) The investigators will apply the new TABI potential solver and force driver to study solvent effects in proteins. Applications to be studied in collaboration with bioscientists include: (a) pH-dependent properties of a bactericidal lectin protein; (b) structural changes of a neurotransmitter receptor in an ionic environment which is relevant to an autoimmune disease; (c) extension of TABI to incorporate polarizable atomic multipole solutes.

蛋白质是一种大型生物分子，由独特的氨基酸序列组成，具有复杂的三维结构。蛋白质在生物体中发挥着许多基本功能，一些疾病与蛋白质结构不合理有关。因此，生物医学研究人员对了解蛋白质的结构、动力学和功能非常感兴趣。在自然环境中，蛋白质被水和溶解的盐包围；蛋白质/溶剂的相互作用对生物体的正常功能至关重要。实验室实验用于研究这些蛋白质/溶剂相互作用，但计算机模拟也越来越多地用于补充实验。研究人员将利用他们在计算数学方面的专业知识开发改进的数值算法和软件，用于计算蛋白质/溶剂相互作用，对蛋白质折叠和合成药物设计等领域有潜在的影响。一些应用将与生物科学家合作研究。开发的软件将以开源格式发布在一个公共网站上，并将安装在一个广泛分发的分子模拟软件包中，供生物计算研究人员使用。该项目将在这一重要的科学研究领域培养一名博士后和一名研究生。该项目将开发改进的数值算法和软件，用于计算静电溶剂效应，静电溶剂效应在确定蛋白质结构、动力学和功能方面起着关键作用。计算这些效应是具有挑战性的，基于泊松-玻尔兹曼（PB）方程的隐式溶剂模型是降低成本的一种流行方法。然而，基于网格的PB模拟遇到了困难，因为代表蛋白质的奇点电荷，复杂的几何形状和跨分子表面的不连续介电常数，以及无界的计算域。在之前nsf支持的研究中，研究人员开发了一种新的树码加速边界积分（TABI）潜在求解器，它具有更高的精度和效率，低内存使用和直接并行化。当前项目包含以下组件。1. （算法开发）研究人员将扩展当前的TABI潜在求解器，以计算分子动力学模拟所需的静电溶剂化力。这需要对表示分子表面诱导电荷的奇异积分进行仔细的离散化，将低介电蛋白域与高介电溶剂域分开。2. （并行计算）研究人员将开发一种新的用于图形处理单元（gpu）的并行TABI求解器，利用treecode的低内存和通信要求。3. 研究人员将利用新的TABI潜在解溶剂和力驱动来研究蛋白质中的溶剂效应。与生物科学家合作研究的应用包括：(a)一种杀菌凝集素蛋白的ph依赖性特性；(b)与自身免疫性疾病相关的离子环境中神经递质受体的结构变化；(c)扩展TABI以纳入可极化的原子多极溶质。