突变
表型
突变体
生物
计算生物学
遗传学
变化(天文学)
基因
物理
天体物理学
作者
Douglas M. Fowler,Stanley Fields
出处
期刊:Nature Methods
[Springer Nature]
日期:2014-07-30
卷期号:11 (8): 801-807
被引量:1089
摘要
This Perspective discusses the power of large mutational scans for the study of protein properties, the analytical challenges posed by the resulting data sets and the potential of this approach to further our understanding of human genetic variation. Mutagenesis provides insight into proteins, but only recently have assays that couple genotype to phenotype been used to assess the activities of as many as 1 million mutant versions of a protein in a single experiment. This approach—'deep mutational scanning'—yields large-scale data sets that can reveal intrinsic protein properties, protein behavior within cells and the consequences of human genetic variation. Deep mutational scanning is transforming the study of proteins, but many challenges must be tackled for it to fulfill its promise.
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