定向进化
构造(python库)
计算生物学
计算机科学
突变
克隆(编程)
基因
人口
遗传学
生物
理论计算机科学
算法
突变
程序设计语言
突变体
社会学
人口学
作者
Paulina Hanson‐Manful,Wayne M. Patrick
标识
DOI:10.1007/978-1-62703-354-1_15
摘要
In contrast to site-directed mutagenesis and rational design, directed evolution harnesses Darwinian principles to identify proteins with new or improved properties. The critical first steps in a directed evolution experiment are as follows: (a) to introduce random diversity into the gene of interest and (b) to capture that diversity by cloning the resulting population of molecules into a suitable expression vector, en bloc. Error-prone PCR (epPCR) is a common method for introducing random mutations into a gene. In this chapter, we describe detailed protocols for epPCR and for the construction of large, maximally diverse libraries of cloned variants. We also describe the utility of an online program, PEDEL-AA, for analyzing the compositions of epPCR libraries. The methods described here were used to construct several libraries in our laboratory. A side-by-side comparison of the results is used to show that, ultimately, epPCR is a highly stochastic process.
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