Molecular Microprograms
Molecular Microprograms
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分子微程序
DOI：
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发表时间：
2009
期刊：
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通讯作者：
P. Young
中科院分区：
文献类型：
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作者：
S. Hickinbotham;Edward Clark;S. Stepney;T. Clarke;A. Nellis;Mungo Pay;P. Young
细菌提供了一个进化模型，在这个模型中，表型和基因型之间丰富的相互作用导致了具有高效代谢途径的紧凑基因组。我们寻求一个类似的计算过程，支持丰富的人工遗传。这些系统可以通过随机化学模型来模拟，但目前还没有组成模型的分子物种的开放式进化的范围。指令集为基础的生命有适当的进化属性，但个人表示为一个单一的执行序列，几乎没有额外的生理。我们描述了一种新的随机化学和进化分子微程序的组合，提供了一个丰富的进化框架。一个单一的有机体由一组执行序列来表示。这种方法的关键是使用不精确的序列匹配，用于单个分子之间的结合和分子微程序的分支。我们说明的方法，通过实施两个稳态复制酶RNA类似物，证明“入侵时，罕见的”。
Bacteria offer an evolutionary model in which rich interactions between phenotype and genotype lead to compact genomes with efficient metabolic pathways.We seek an analogous computational process that supports a rich artificial heredity. These systems can be simulated by stochastic chemistry models, but there is currently no scope for open-ended evolution of the molecular species that make up the models. Instruction-set based Artifical Life has appropriate evolutionary properties, but the individual is represented as a single executing sequence with little additional physiology. We describe a novel combination of stochastic chemistries and evolvable molecule microprograms that gives a rich evolutionary framework. A single organism is represented by a set of exectuing sequences. Key to this approach is the use of inexact sequence matching for binding between individual molecules and for branching of molecular microprograms. We illustrate the approach by implementation of two steady-state replicase RNA analogues that demonstrate "invasion when rare".