Stochastic Inverse Problems in Biophysics
Stochastic Inverse Problems in Biophysics
批准号:
0349195
负责人:
Tom Chou
金额:
$40.0万
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
项目状态:
已结题
起止时间:
2004-09-15 至 2010-08-31
中文摘要
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英文摘要
The investigator develops analytical and numericalreconstruction techniques to recover quantities important intheoretical biophysics. The systems considered all includestochastic effects, and the measurements to be considered aredistributions of first passage times. Developing physical,statistical mechanical models, he uses the first passage timedistribution function to construct parameters or functions in thephysical model. Of particular interest is the reconstruction ofmacromolecular potentials from bond-breaking times. An analysisof bounds and how measurement errors affect the stability ofreconstructed quantities is undertaken. The investigator develops mathematical tools, theoreticaland computational, that allow quantitative reconstruction ofunknown quantities from measured data in fluctuating, randomsystems. This class of problems is called stochastic inverseproblems. Two examples are how molecular bonds break, and howchemical reactions progress. Typically, for the bond-breakingproblem, the detailed molecular interactions are assumed known,from which the behavior of the bond (e.g. how likely it is tobreak) is theoretically predicted. Similarly, in chemicalreactions, specific reaction rates and chemical networks areassumed. One then solves the rate equations with these "given"parameters to find, say, the concentration of a chemical speciesas a function of time after the start of a reaction. In theformulation of the inverse problem, we do not know theintermolecular forces, or the rates of chemical reactions.Rather, we measure the lifetime of a bond before it breaks, andfrom these data, infer the microscopic molecular interactions. In chemical reactions, we attempt to use the measuredconcentrations to deduce the chemical reaction rates. These andrelated inverse problems have wide applicability in numerousdisciplines, and can potentially optimize and simplify industrialprocesses such as drug design and drug delivery. Moreover, thetechniques can provide valuable theoretical tools with which toprobe fundamental genetic regulation processes inside cells.
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批准号:1814364
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项目类别:Continuing Grant
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资助金额:$24.65万
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财政年份:2018
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负责人:Tom Chou
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依托单位:
Mathematical Modeling and Quantification of Viral Entry Assays
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批准号:1516675
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项目类别:Standard Grant
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资助金额:$31.29万
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财政年份:2015
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负责人:Tom Chou
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依托单位:
Mathematics for Microscopy and Cell Biology
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批准号:1032131
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项目类别:Standard Grant
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资助金额:$9.97万
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财政年份:2010
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负责人:Tom Chou
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依托单位:
Collaborative Research: Hierarchical kinetic models for chemically and hydrodynamically coupled organisms
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批准号:1021818
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项目类别:Standard Grant
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资助金额:$25.3万
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财政年份:2010
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负责人:Tom Chou
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依托单位:
Models of One-Dimensional Transport
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批准号:0206733
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项目类别:Standard Grant
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资助金额:$16.9万
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财政年份:2002
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负责人:Tom Chou
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依托单位:
Mathematical Sciences Postdoctoral Research Fellowships
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批准号:9804370
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项目类别:Fellowship Award
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资助金额:$9.0万
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财政年份:1998
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负责人:Tom Chou
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依托单位:
国内基金
海外基金
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批准号:--
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2022
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负责人:程自强
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依托单位:
基于高阶格式的Inverse Lax-Wendroff方法及其稳定性分析
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批准号:11801143
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项目类别:青年科学基金项目
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资助金额:25.0万元
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批准年份:2018
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负责人:李婷婷
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依托单位: