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Evolutionary algorithms and synthetic biology for directed evolution: commentary on on the mapping of genotype to phenotype in evolutionary algorithms by Peter A. Whigham Grant Dick and James Maclaurin

机译:用于定向进化的进化算法和合成生物学:Peter A. WhighamGrant Dick和James Maclaurin对关于进化算法中基因型到表型的映射的评论

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摘要

I rehearse two issues around the commentary of Whigham and colleagues. (1) There really are many more reasons than those given as to why natural evolution cannot reasonably find or select the ‘optimal’ individual. (2) A series of experimental molecular biology programmes, known generically as directed evolution, can use operators and selection schemes that natural evolution cannot. When developed further using the methods of synthetic biology, there are no operators or schemes for in silico evolution that cannot be applied precisely to directed evolution. The issues raised apply only to natural evolution but not to directed evolution.
机译:我将根据Whigham及其同事的评论来演练两个问题。 (1)关于自然进化为何无法合理地找到或选择“最优”个体的原因,确实有很多原因。 (2)一系列实验性分子生物学程序(通常称为定向进化)可以使用自然进化无法实现的算子和选择方案。当使用合成生物学方法进一步发展时,没有计算机进化的运算符或方案不能精确地应用于定向进化。提出的问题仅适用于自然进化,而不适用于定向进化。

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