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A class frequency mixture model that adjusts for site-specific amino acid frequencies and improves inference of protein phylogeny

机译:调整特定位点氨基酸频率并改善蛋白质系统发育推断的类频率混合模型

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摘要

BackgroundWidely used substitution models for proteins, such as the Jones-Taylor-Thornton (JTT) or Whelan and Goldman (WAG) models, are based on empirical amino acid interchange matrices estimated from databases of protein alignments that incorporate the average amino acid frequencies of the data set under examination (e.g JTT + F). Variation in the evolutionary process between sites is typically modelled by a rates-across-sites distribution such as the gamma (Γ) distribution. However, sites in proteins also vary in the kinds of amino acid interchanges that are favoured, a feature that is ignored by standard empirical substitution matrices. Here we examine the degree to which the pattern of evolution at sites differs from that expected based on empirical amino acid substitution models and evaluate the impact of these deviations on phylogenetic estimation.
机译:背景技术广泛使用的蛋白质替代模型,例如Jones-Taylor-Thornton(JTT)或Whelan and Goldman(WAG)模型,是基于根据蛋白质比对数据库估算的经验氨基酸互换矩阵,该矩阵结合了蛋白质的平均氨基酸频率。正在检查的数据集(例如,JTT + F)。站点之间进化过程的变化通常通过跨站点的速率分布(例如伽玛(Γ)分布)来建模。但是,蛋白质中的位点在有利于氨基酸互换的种类上也有所不同,这一特征被标准的经验替代矩阵所忽略。在这里,我们检查了基于经验氨基酸替代模型的位点进化模式与预期的差异程度,并评估了这些偏差对系统发育估计的影响。

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