适体
核酸
选择(遗传算法)
计算生物学
计算机科学
DNA
指数富集配体系统进化
核糖核酸
生物
纳米技术
生物化学
人工智能
遗传学
材料科学
基因
作者
Mariya A. Vorobyeva,Anna Davydova,P. E. Vorobjev,Д. В. Пышный,A. G. Venyaminova
摘要
Nucleic acid aptamers capable of selectively recognizing their target molecules have nowadays been established as powerful and tunable tools for biospecific applications, be it therapeutics, drug delivery systems or biosensors. It is now generally acknowledged that in vitro selection enables one to generate aptamers to almost any target of interest. However, the success of selection and the affinity of the resulting aptamers depend to a large extent on the nature and design of an initial random nucleic acid library. In this review, we summarize and discuss the most important features of the design of nucleic acid libraries for in vitro selection such as the nature of the library (DNA, RNA or modified nucleotides), the length of a randomized region and the presence of fixed sequences. We also compare and contrast different randomization strategies and consider computer methods of library design and some other aspects.
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