Collaborative Research: Maximum Caliber: An Approach to Modeling Stochastic Dynamics in Biology.

合作研究:最大口径:生物学中随机动力学建模的方法。

基本信息

  • 批准号:
    1205881
  • 负责人:
  • 金额:
    $ 96.13万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-15 至 2018-02-28
  • 项目状态:
    已结题

项目摘要

This interdisciplinary project will develop a principle of nonequilibrium physics called Maximum Caliber (MaxCal). MaxCal offers a general way to make dynamical models, particularly where fluctuations are important, as in single-molecule and few-particle systems. This project focuses on developing better kinetic models for applications in molecular and cellular biophysics. MaxCal will be applied to analyze a genetic toggle switch, a genetic timer, a three-gene repressilator circuit, and studies of a synthetic genetic oscillator with activation and repression, the B. Subtilis ComK gene regulatory feedback system. A way to identify hidden kinetic states from single molecule noisy data will be investigated as well. The PI will iterate with his experimental collaborators to test and advance MaxCal, motivate new experiments and develop insights into the principles governing these complex systems. Thus this project will facilitate the analysis of the rapidly growing body of experimental data, as well as circuit design by synthetic biologists. The principles of MaxCal have broad utility: from nano-structures and nano-motor design to modeling neural systems, ecology, vehicular traffic, econophysics and interstellar chemistry. The project will impact multiple outreach efforts and new centers for collaboration/education. Graduate students and post docs in the Laufer Center and in the University of Denver's MCB program will be exposed to MaxCal and the stochastic physics in biology that are under development in this project. MaxCal applications from this proposal will be incorporated in the NESM chapter(s) of future editions of the textbook (used in 150 graduate and undergraduate courses worldwide) Molecular Driving Forces that the PI co-authors with Sarina Bromberg. Besides training post docs and graduate students in this project, at least one undergraduate student every year will be trained as part of their honors thesis, a requirement in the department of Physics and Astronomy at the University of Denver. The PI will also host high school students at Laufer Center to introduce them to university research, continuing the tradition he initiated at UCSF. The MaxCal project will also contribute to broader education by involving personnel from collaborators at the University of California, Berkeley; Arizona State University; and the University of Texas Southwestern Medical Center. The PI will make the computer codes freely available on the Laufer Center web server for broader usage.This project is being supported jointly by the Physics of Living Systems Program in the Physics Division and by the Molecular Biophysics Program in Division of Molecular and Cellular Biosciences.

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Ken Dill其他文献

Cryofold: Determining Protein Structures and Data- Guided Ensembles from Cryo-Em Density Maps
Cryofold:从 Cryo-Em 密度图确定蛋白质结构和数据引导的整体
  • DOI:
    10.2139/ssrn.3866834
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Shekhar;Genki Terashi;C. Gupta;Daipayan Sarkar;Gaspard Debussche;N.N.S. Sisco;Jonathan Nguyen;Arup Mondal;James D. Zook;J. Vant;Petra Fromme;Wade Van Horn;Emad Tajkhorshid;Diasuke Kihara;Ken Dill;Alberto Perez;A. Singharoy
  • 通讯作者:
    A. Singharoy
171 Protein structure prediction with limited data
171 有限数据下的蛋白质结构预测

Ken Dill的其他文献

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{{ truncateString('Ken Dill', 18)}}的其他基金

Frontera - Travel
弗龙特拉 - 旅行
  • 批准号:
    2031580
  • 财政年份:
    2020
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Standard Grant
Petascale Integrative Approaches to Protein Structure Prediction
蛋白质结构预测的千万亿级综合方法
  • 批准号:
    1713695
  • 财政年份:
    2017
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Standard Grant
Predicting protein structures with physical petascale molecular simulations
通过物理千万级分子模拟预测蛋白质结构
  • 批准号:
    1514873
  • 财政年份:
    2015
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Standard Grant
INSPIRE Track 1: Origins-of-life and self-evolving polymeric materials
INSPIRE 轨道 1:生命起源和自我进化高分子材料
  • 批准号:
    1344230
  • 财政年份:
    2013
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Continuing Grant
Conference: Stochastic Physics in Biology, Gordon Research Conference, January 23-28, 2011, Ventura, CA
会议:生物学中的随机物理学,戈登研究会议,2011 年 1 月 23-28 日,加利福尼亚州文图拉
  • 批准号:
    1042871
  • 财政年份:
    2010
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Standard Grant
ITR: Global Optimization in Computational Biology
ITR:计算生物学中的全局优化
  • 批准号:
    0082146
  • 财政年份:
    2000
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Continuing grant
The Study of Highly Asymmetric Electrolytes
高度不对称电解质的研究
  • 批准号:
    0000796
  • 财政年份:
    2000
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Fellowship
Computational Models for Molecular Recognition and Protein Stability
分子识别和蛋白质稳定性的计算模型
  • 批准号:
    9119575
  • 财政年份:
    1993
  • 资助金额:
    $ 96.13万
  • 项目类别:
    Continuing Grant

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