VIRTUAL FCS

虚拟FCS

• 批准号: 7722720
• 负责人: JOHN H CARSON
• 金额: $ 4.15万
• 依托单位: UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7722720
• 关键词: Cells; Complex; Computer Retrieval of Information on Scientific Projects Database; Cytoplasm; Diffusion; Dissociation; Fluorescence; Funding; Grant; Institution; Kinetics; Life; Methods; Modeling; Molecular; Photons; Reaction; Research; Research Personnel; Resources; Source; Spectrum Analysis; Time; United States National Institutes of Health; base; molecular mass; particle; simulation; statistics; theories; virtual

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Fluorescence correlation spectroscopy (FCS) based on statistical analysis of photons emitted by fluorescent particles as they move through a femtoliter observation volume provides quantitative information about mobility of molecules, concentration, composition of molecular complexes, dissociation constants, and reaction kinetics. The established theory of FCS predicts the statistics of photon arrival times based on free diffusion of particles, and particles involved in certain kinds of reactions. We are developing a new method for parameter optimization using virtual FCS in conjunction with Virtual Cell. Based on the molecular mass of each species the diffusion coefficient in the cytoplasm can be predicted. These values can then be used perform a virtual FCS simulation. By integrating the results from multiple species it is possible to calculate a virtual autocorrelation function for the model. Comparison of the virtual autocorrelation function to the experimental FCS autocorrelation function in live cells can be used to optimize parameters in the model. This represents a powerful global approach to parameter optimization in the Virtual Cell.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 荧光相关光谱（FCS）基于荧光颗粒在女性体体观察量移动时发出的光子的统计分析，提供了有关分子迁移率，浓度，分子复合物，分离常数和反应动力学的定量信息。 FC的既定理论预测了基于颗粒的自由扩散以及与某些反应有关的粒子的光子到达时间的统计数据。我们正在使用虚拟FC与虚拟单元格开发一种新方法来优化参数。根据每种物种的分子质量，可以预测细胞质中的扩散系数。然后可以使用这些值执行虚拟FCS模拟。通过整合多个物种的结果，可以计算模型的虚拟自相关函数。可以使用虚拟自相关功能与实验性FCS自相关功能的比较，可用于优化模型中的参数。这代表了虚拟单元中参数优化的强大全局方法。