索引
抓住
序列(生物学)
自由序列分析
多序列比对
计算生物学
蛋白质工程
代表(政治)
INDEL突变
计算机科学
序列比对
选择(遗传算法)
生物
遗传学
人工智能
基因
肽序列
程序设计语言
政治
基因型
单核苷酸多态性
生物化学
酶
法学
政治学
作者
Connie M. Ross,Gabriel Foley,Mikael Bodén,Elizabeth M. J. Gillam
标识
DOI:10.1007/978-1-0716-1826-4_6
摘要
Analyzing the natural evolution of proteins by ancestral sequence reconstruction (ASR) can provide valuable information about the changes in sequence and structure that drive the development of novel protein functions. However, ASR has also been used as a protein engineering tool, as it often generates thermostable proteins which can serve as robust and evolvable templates for enzyme engineering. Importantly, ASR has the potential to provide an insight into the history of insertions and deletions that have occurred in the evolution of a protein family. Indels are strongly associated with functional change during enzyme evolution and represent a largely unexplored source of genetic diversity for designing proteins with novel or improved properties. Current ASR methods differ in the way they handle indels; inclusion or exclusion of indels is often managed subjectively, based on assumptions the user makes about the likelihood of each recombination event, yet most currently available ASR tools provide limited, if any, opportunities for evaluating indel placement in a reconstructed sequence. Graphical Representation of Ancestral Sequence Predictions (GRASP) is an ASR tool that maps indel evolution throughout a reconstruction and enables the evaluation of indel variants. This chapter provides a general protocol for performing a reconstruction using GRASP and using the results to create indel variants. The method addresses protein template selection, sequence curation, alignment refinement, tree building, ancestor reconstruction, evaluation of indel variants and approaches to library development.
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