SOFTWARE DISTRIBUTED BY MULLER LAB, 2010

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 两个荧光团之间的荧光共振能量转移(FRET)是荧光团之间距离的函数。这一特性在实验中被用来制造生物活性传感器和监测蛋白质结构的变化。 FRET还被应用于活细胞中，以测量用一对荧光蛋白标记的复合体中蛋白质的接近程度。然而，由于缺乏可靠的统计方法，这最后一个应用受到了阻碍。FRETSCAL是一个集成的用于FRET分析的MatLab脚本集合，它提供了可靠的统计方法。 两个荧光团之间的荧光共振能量转移(FRET)是荧光团之间距离的函数。这一特性在实验中被用来制造生物活性传感器和监测蛋白质结构的变化。 FRET还被应用于活细胞中，以测量用一对荧光蛋白标记的复合体中蛋白质的接近程度。然而，由于缺乏可靠的统计方法，这最后一个应用受到了阻碍。FRETSCAL是一个集成的用于FRET分析的MatLab脚本集合，它提供了可靠的统计方法。

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 resonance energy transfer (FRET) between two fluorophores is a function of the distance between the fluorophores. This property is used experimentally to create sensors of biological activity and monitor changes in protein structure. FRET is also applied in living cells to measure the proximity of proteins within a complex that is tagged with a pair of fluorescent proteins. However this last application is hampered by the lack of a statistically robust methodology. FRETSCAL is an integrated collection of Matlab scripts for FRET analysis that provides the statistically robust methodology. Fluorescence resonance energy transfer (FRET) between two fluorophores is a function of the distance between the fluorophores. This property is used experimentally to create sensors of biological activity and monitor changes in protein structure. FRET is also applied in living cells to measure the proximity of proteins within a complex that is tagged with a pair of fluorescent proteins. However this last application is hampered by the lack of a statistically robust methodology. FRETSCAL is an integrated collection of Matlab scripts for FRET analysis that provides the statistically robust methodology.