适体
计算机科学
选择(遗传算法)
自动化
计算生物学
核酸
蛋白质组
实验室自动化
化学
人工智能
生物信息学
生物
工程类
遗传学
生物化学
机械工程
作者
J. Colin Cox,Manjula Rajendran,Timothy E. Riedel,Eric A. Davidson,Letha J. Sooter,Travis S. Bayer,Mary Schmitz-Brown,Andrew D. Ellington
标识
DOI:10.2174/1386207023330291
摘要
While the in vitro selection of nucleic acid binding species (aptamers) requires numerous liquid-handling steps, these steps are relatively straightforward and the overall process is therefore amenable to automation. Here we demonstrate that automated selection techniques are capable of generating aptamers against a number of diverse protein targets. Automated selection techniques can be integrated with automated analytical methods, including sequencing, determination of binding constants, and structural analysis. The methods that have so far been developed can be further multiplexed, and it should soon be possible to attempt the selection of aptamers against organismal proteomes or metabolomes.
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