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The evolution of stochastic regular motifs for protein sequences

机译:蛋白质序列随机规则基序的演变

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Stochastic regular motifs are evolved for protein sequences using genetic programming. The motif language, SRE-DNA, is a stochas- tic regular expression language suitable for denoting biosequences. Three restricted versions of SRE-DNA are used as target languages for evolved mo- tifs. The genetic programming experiments are implemented in DCTG-GP, which is a genetic programming system that uses logic-based attribute gram- mars to define the target language for evolved programs. Earlier preliminary work tested SRE-DNA's viablility as a representation language for aligned protein sequences. This work establishes that SRE-DNA is also suitable for evolving motifs for unaligned sets of sequences.
机译:随机规则的基序是使用遗传程序进化为蛋白质序列的。主题语言SRE-DNA是一种适用于表示生物序列的随机正则表达语言。 SRE-DNA的三种受限版本用作进化主题的目标语言。遗传编程实验在DCTG-GP中实现,DCTG-GP是一种遗传编程系统,它使用基于逻辑的属性语法为演化程序定义目标语言。早期的初步工作测试了SRE-DNA的易用性,作为比对蛋白质序列的代表语言。这项工作确定了SRE-DNA也适用于进化未对齐序列集的基序。

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