蛋白质工程
定向进化
噬菌体展示
突变
计算生物学
酵母
互补性(分子生物学)
氨基酸残基
肽库
分子工程
蛋白质设计
生物
定向分子进化
突变
遗传学
计算机科学
蛋白质结构
肽序列
基因
生物化学
化学
抗体
突变体
酶
有机化学
作者
Preeti Sharma,Erik Procko,David M. Kranz
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 117-142
被引量:2
标识
DOI:10.1007/978-1-0716-2285-8_7
摘要
Protein engineering using display platforms such as yeast display and phage display has allowed discovery of proteins with therapeutic and industrial applications. Antibodies and T cell receptors developed for therapeutic applications are often engineered by constructing libraries of mutations in loops of five to ten residues called complementarity determining regions that are in proximity to the antigen. In the past decade, deep mutational scanning has become a powerful tool in a protein engineer’s toolbox, as it allows one to compare the impact of all 20 amino acids at each position, across the length of the protein. Thus, a single experiment can provide a sequence-activity landscape with information about hotspots or suboptimal binding sites in the original proteins. These residues or regions may be overlooked by engineering methods that are driven solely by structures or directed evolution of error-prone PCR libraries. Here, we describe experimental methods to engineer proteins by combining yeast display and deep mutational scanning mutagenesis, using T cell receptors as an example.
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