Collaborative Research: Multi-Scale Modeling and Numerical Methods for Charge Transport in Ion Channels

合作研究：离子通道中电荷传输的多尺度建模和数值方法

• 批准号: 1950471
• 负责人: Wei Cai
• 金额: $ 16万
• 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: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950471&HistoricalAwards=false
• 关键词: Collaborative; Research; Multi; Scale; Modeling

Systems in biology are inherited, with all the information being in genes that are sequences of nucleotides in DNA. These genes produce proteins. Molecular and cell biologists have identified and analyzed these proteins in great detail: structural biologists now know the position of individual atoms of more than a hundred thousand proteins. Site-directed mutagenesis is done in thousands of laboratories every day to change biological function. A central challenge in biology is to understand how the atoms control biological function when biological structures are some 10 million times larger than atoms and move at a ten thousand billionth of their speed. Ion channels, the subject of this research, are good examples of such systems. They facilitate the transport of ions through cell membranes and control many biological processes, including cell-cell communication, signaling, muscle contraction etc. During ion transport, electrostatic interactions and ion correlation and size effects are all important factors to understand the channel selectivity, conductance, and other critical behaviors. Ion channels play critical roles in almost all biological systems including heart and nerves. About 13% of known drugs have their primary therapeutic actions targeted at ion channels. The methods developed in this project will advance the field of ion channel research, which will have an impact on research on enzyme catalysis, protein engineering, rational drug design, drug delivery, and new diagnostic and therapeutic strategies. In this proposal, the PIs will develop multiscale mathematical theories and numerical methods to study the multi-physics problems related to the ion channel dynamics involving a disparity of scales. The tasks to be focused on include a) developing a reaction field based hybrid solvation model for electrostatic interactions, and multi-step accelerated dynamics integration methods for all-atom MD simulations of ion channels, accounting for layered membrane and solvent environments; b) developing new improved PNP continuum models and new numerical methods to address crowded ions effects and relative drags between ion species in ion channels; c) pursuing mathematical analysis and physical understanding of the new PNP models; d) simulations based on the multi-scale electrostatic solvation MD and the PNP models. Educational efforts at high school, undergraduate, and graduate level will be an integrated part of this project, and research results from this project will be incorporated into the applied/computational mathematics curriculum at the two participating institutions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

生物学系统是遗传的，所有信息都是基因，这些信息是DNA中核苷酸序列的基因。这些基因产生蛋白质。分子和细胞生物学家已经详细识别和分析了这些蛋白质：结构生物学家现在知道了超过十万蛋白质的个体原子的位置。定点诱变每天在数千个实验室中进行，以改变生物学功能。生物学中的一个核心挑战是了解当生物结构比原子大1000万倍并以其速度的一千亿分之一移动时，原子如何控制生物学功能。这项研究的主题是离子渠道是此类系统的好例子。它们促进离子通过细胞膜的运输并控制许多生物过程，包括细胞 - 细胞通信，信号传导，肌肉收缩等。在离子传输期间，静电相互作用和离子相关和尺寸效应都是了解通道选择性的重要因素和其他关键行为。离子通道在包括心脏和神经在内的几乎所有生物系统中都起着关键作用。大约13％的已知药物具有针对离子通道的主要治疗作用。该项目开发的方法将推进离子通道研究领域，这将影响酶催化，蛋白质工程，合理的药物设计，药物输送以及新的诊断和治疗策略的研究。在此提案中，PI将开发多尺度数学理论和数值方法，以研究与涉及量表差异的离子通道动力学相关的多物理问题。要关注的任务包括a）为静电相互作用开发基于反应场的混合溶剂化模型，以及用于全原子MD模拟离子通道的多步加速动力学积分方法，考虑了分层膜和溶剂环境； b）开发新的改进的PNP连续模型和新的数值方法，以解决离子物种在离子通道中的离子物种之间的相对阻力； c）追求新PNP模型的数学分析和物理理解； d）基于多尺度静电溶剂化MD和PNP模型的仿真。高中，本科和研究生一级的教育工作将是该项目的一部分，该项目的研究结果将在两个参与机构的应用/计算数学课程中纳入应用/计算数学课程中。该奖项反映了NSF的法规任务，并且已有。使用基金会的知识分子优点和更广泛的审查标准，被认为值得通过评估来支持。

项目成果

Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains

• DOI: 10.4208/cicp.oa-2020-0179
• 发表时间: 2020-06
• 期刊: ArXiv
• 作者: Ziqi Liu;Wei Cai;Zhi-Qin John Xu

Exponential Convergence Theory of the Multipole and Local Expansions for the 3-D Laplace Equation in Layered Media

层状介质中3-D拉普拉斯方程的多极子和局部展开式的指数收敛理论

• DOI: 10.4208/aam.oa-2023-0005
• 发表时间: 2022
• 期刊: Annals of Applied Mathematics
• 作者: Zhang, Wenzhong;null, Bo Wang;Cai, Wei
• 通讯作者: Cai, Wei

A path integral Monte Carlo (PIMC) method based on Feynman-Kac formula for electrical impedance tomography

• DOI: 10.1016/j.jcp.2022.111862
• 发表时间: 2023-01
• 期刊: J. Comput. Phys.
• 作者: Cuiyang Ding;Yijing Zhou;W. Cai;Xuan Zeng;Changhao Yan

A Highly Scalable Boundary Integral Equation and Walk-On-Spheres (BIE-WOS) Method for the Laplace Equation with Dirichlet Data

• DOI: 10.4208/cicp.oa-2020-0099
• 发表时间: 2021-06
• 期刊: Communications in Computational Physics
• 影响因子: 3.7
• 作者: Changhao Yan