CAREER: Stochastic methods in chemistry and biophysics

职业：化学和生物物理学中的随机方法

• 批准号: 0349196
• 负责人: Frank Brown
• 金额: $ 50.5万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0349196&HistoricalAwards=false
• 关键词: CAREER; Stochastic; methods; chemistry; biophysics

Prof. Frank L. Brown of the University of California Santa Barbara is supported by this CAREER award to develop a dynamic elastic model for lipid bilayers which is used in simulating complex biochemical and biophysical phenomena. The research involves the development of Fourier Space Brownian Dynamics, or FSBD, for stochastically evolving these surfaces. This method will allow the modeling of cellular motility and membrane protein diffusion. A second project supported by this award is the development of theoretical and computational approaches to single molecule spectroscopy. The results of these simulations are used to interpret photon counting experiments.This research has a broad impact on the field of biology, particularly the biophysics of membranes. Professor Brown is involved with the Computational Science and Engineering program on the UCSB campus and is working to incorporate computational chemistry into the program. Courses in atomic and mesoscale simulation techniques are being developed by Professor Brown as part of this project.This project is supported by the Theoretical and Computational Chemistry Program in a co-funding arrangement with both Molecular Biophysics of Molecular and Cellular Biology and the Materials Theory Program of the Division of Materials Research.

加州大学圣巴巴拉分校的Frank L. Brown教授得到了CAREER奖的支持，他开发了一种用于模拟复杂生化和生物物理现象的脂质双分子层动态弹性模型。该研究涉及傅立叶空间布朗动力学（FSBD）的发展，用于随机演化这些表面。这种方法将允许对细胞运动和膜蛋白扩散进行建模。该奖项支持的第二个项目是发展单分子光谱学的理论和计算方法。这些模拟结果被用来解释光子计数实验。这项研究在生物学领域，特别是膜的生物物理学领域具有广泛的影响。布朗教授参与了加州大学圣巴巴拉分校的计算科学与工程项目，并致力于将计算化学纳入该项目。作为该项目的一部分，布朗教授正在开发原子和中尺度模拟技术课程。本项目由理论和计算化学项目与分子和细胞生物学的分子生物物理学和材料研究部的材料理论项目共同资助。