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arXiv 0910.4253q-bio.GNq-bio.QM
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蛋白质结构域基因组水平复制-创新-丢失模型的平均场方法

Mean-field methods in evolutionary duplication-innovation-loss models for the genome-level repertoire of protein domains

A. Angelini, A. Amato, G. Bianconi, B. Bassetti, M. Cosentino Lagomarsino

摘要:

我们提出了一个组合的平均场和模拟方法来描述不同的模型的动态元素,可以出现,消失或复制自己形成的类。这些模型与被称为中国餐馆过程的范式复制创新模型相关,旨在重现在所有已知物种的蛋白质结构域的全基因组库中观察到的缩放行为。鉴于这些数据,我们讨论了定性和定量的差异的替代模型配方,特别侧重于元素损失和经验域类的特异性的作用。

英文摘要:

We present a combined mean-field and simulation approach to different models describing the dynamics of classes formed by elements that can appear, disappear or copy themselves. These models, related to a paradigm duplication-innovation model known as Chinese Restaurant Process, are devised to reproduce the scaling behavior observed in the genome-wide repertoire of protein domains of all known species. In view of these data, we discuss the qualitative and quantitative differences of the alternative model formulations, focusing in particular on the roles of element loss and of the specificity of empirical domain classes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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