定向进化
序列空间
选择(遗传算法)
计算机科学
定向分子进化
序列(生物学)
多元化(营销策略)
生物
人工智能
基因
数学
遗传学
营销
突变体
纯数学
巴拿赫空间
业务
作者
Mary S. Morrison,Christopher J. Podracky,David R. Liu
标识
DOI:10.1038/s41589-020-0532-y
摘要
Continuous directed evolution methods allow the key steps of evolution-gene diversification, selection, and replication-to proceed in the laboratory with minimal researcher intervention. As a result, continuous evolution can find solutions much more quickly than traditional discrete evolution methods. Continuous evolution also enables the exploration of longer and more numerous evolutionary trajectories, increasing the likelihood of accessing solutions that require many steps through sequence space and greatly facilitating the iterative refinement of selection conditions and targeted mutagenesis strategies. Here we review the historical advances that have expanded continuous evolution from its earliest days as an experimental curiosity to its present state as a powerful and surprisingly general strategy for generating tailor-made biomolecules, and discuss more recent improvements with an eye to the future.
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