BACKGROUND:Composition Profiler is a web-based tool for semi-automatic discovery of enrichment or depletion of amino acids, either individually or grouped by their physico-chemical or structural properties. RESULTS:The program takes two samples of amino acids as input: a query sample and a reference sample. The latter provides a suitable background amino acid distribution, and should be chosen according to the nature of the query sample, for example, a standard protein database (e.g. SwissProt, PDB), a representative sample of proteins from the organism under study, or a group of proteins with a contrasting functional annotation. The results of the analysis of amino acid composition differences are summarized in textual and graphical form. CONCLUSION:As an exploratory data mining tool, our software can be used to guide feature selection for protein function or structure predictors. For classes of proteins with significant differences in frequencies of amino acids having particular physico-chemical (e.g. hydrophobicity or charge) or structural (e.g. alpha helix propensity) properties, Composition Profiler can be used as a rough, light-weight visual classifier.

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背景:Composition Profiler是一种基于Web的工具,可用于半自动发现氨基酸的富集或耗竭,无论是单独地还是通过其物理化学或结构特性对其进行分组。
结果:该程序将两个氨基酸样本作为输入:查询样本和参考样本。后者提供了合适的背景氨基酸分布,应根据查询样品的性质进行选择,例如,标准蛋白质数据库(例如SwissProt,PDB),来自正在研究的生物体的代表性蛋白质样品或具有相反功能注释的蛋白质组。氨基酸组成差异的分析结果以文本和图形形式进行了总结。
结论:作为探索性数据挖掘工具,我们的软件可用于指导蛋白质功能或结构预测因子的特征选择。对于具有特定物理化学(例如疏水性或电荷)或结构(例如α螺旋倾向)性质的氨基酸频率差异显着的蛋白质类别,Composition Profiler可用作粗略,轻量的视觉分类器。

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