蛋白质反翻译中基因组风格模拟的遗传算法
Genetic Algorithms for the Imitation of Genomic Styles in Protein Backtranslation
摘要：
一些技术应用需要将蛋白质翻译成为其编码的核酸（"反向翻译“）。遗传密码的简并性使这种翻译变得模棱两可;而且，并非每种翻译都同样可行。这个问题的常见答案是模仿目标物种的密码子使用。在这里，我们将讨论与不同物种的“基因组风格”相关的编码序列（“编码序列”）的其他几个特征。然后使用遗传算法来获得模仿这些风格的反向翻译，通过最小化编码统计数据的差异。可能的改进和应用进行了讨论。
英文摘要：
Several technological applications require the translation of a protein into a nucleic acid that codes for it (``backtranslation''). The degeneracy of the genetic code makes this translation ambiguous; moreover, not every translation is equally viable. The common answer to this problem is the imitation of the codon usage of the target species. Here we discuss several other features of coding sequences (``coding statistics'') that are relevant for the ``genomic style'' of different species. A genetic algorithm is then used to obtain backtranslations that mimic these styles, by minimizing the difference in the coding statistics. Possible improvements and applications are discussed.
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