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首页> 外文期刊>Methods: A Companion to Methods in Enzymology >SEDPHAT - A platform for global ITC analysis and global multi-method analysis of molecular interactions
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SEDPHAT - A platform for global ITC analysis and global multi-method analysis of molecular interactions

机译:SEDPHAT-用于分子相互作用的全球ITC分析和全球多方法分析的平台

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摘要

Isothermal titration calorimetry experiments can provide significantly more detailed information about molecular interactions when combined in global analysis. For example, global analysis can improve the precision of binding affinity and enthalpy, and of possible linkage parameters, even for simple bimolecular interactions, and greatly facilitate the study of multi-site and multi-component systems with competition or cooperativity. A pre-requisite for global analysis is the departure from the traditional binding model, including an 'n'-value describing unphysical, non-integral numbers of sites. Instead, concentration correction factors can be introduced to account for either errors in the concentration determination or for the presence of inactive fractions of material. SEDPHAT is a computer program that embeds these ideas and provides a graphical user interface for the seamless combination of biophysical experiments to be globally modeled with a large number of different binding models. It offers statistical tools for the rigorous determination of parameter errors, correlations, as well as advanced statistical functions for global ITC (gITC) and global multi-method analysis (GMMA). SEDPHAT will also take full advantage of error bars of individual titration data points determined with the unbiased integration software NITPIC. The present communication reviews principles and strategies of global analysis for ITC and its extension to GMMA in SEDPHAT. We will also introduce a new graphical tool for aiding experimental design by surveying the concentration space and generating simulated data sets, which can be subsequently statistically examined for their information content. This procedure can replace the 'c'-value as an experimental design parameter, which ceases to be helpful for multi-site systems and in the context of gITC. Published by Elsevier Inc.
机译:当与整体分析结合使用时,等温滴定量热法实验可以提供有关分子相互作用的详细得多的信息。例如,即使对于简单的双分子相互作用,全局分析也可以提高结合亲和力和焓的精确度,以及可能的连接参数,并且大大促进了具有竞争性或协同性的多位点和多组分系统的研究。进行全局分析的先决条件是偏离传统的绑定模型,包括描述站点的非物理,非整数数量的“ n”值。取而代之的是,可以引入浓度校正因子以解决浓度确定中的错误或材料中非活性成分的存在。 SEDPHAT是一种计算机程序,它嵌入了这些想法,并提供了图形用户界面,以无缝结合生物物理实验,从而可以使用大量不同的绑定模型进行全局建模。它提供了用于严格确定参数误差,相关性的统计工具,以及用于全局ITC(gITC)和全局多方法分析(GMMA)的高级统计功能。 SEDPHAT还可以充分利用由无偏集成软件NITPIC确定的各个滴定数据点的误差线。本来文回顾了ITC及其在SEDPHAT中扩展到GMMA的全球分析的原则和策略。我们还将介绍一种新的图形工具,通过调查浓度空间并生成模拟数据集来辅助实验设计,然后可以对其进行统计分析以获取其信息内容。此过程可以代替“ c”值作为实验设计参数,这对于多站点系统和gITC而言不再有用。由Elsevier Inc.发布

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