噬菌体展示
计算生物学
抗体
基因组文库
生物
肽库
选择(遗传算法)
终止密码子
基因
高通量筛选
遗传学
计算机科学
基序列
肽序列
人工智能
作者
Vanshika Singh,Sonal Garg,Nisha Raj,Asha Lukose,Deepti Jamwal,Reshma Perween,Samridhi Dhyani,Hilal A. Parray,Chandresh Sharma,Rajesh Kumar
出处
期刊:Bio-protocol
[Bio-Protocol]
日期:2022-01-01
卷期号:12 (12)
标识
DOI:10.21769/bioprotoc.4450
摘要
Phage display is a proven and widely used technology for selecting specific antibodies against desired targets. However, an immense amount of effort is required to identify and screen the desired positive clones from large and diverse combinatorial libraries. On the other hand, the selection of positive binding clones from synthetic and semi-synthetic libraries has an inherent bias toward clones with randomly produced amber stop codons, making it more difficult to identify desirable binding antibodies. To overcome the screening of desired clones with amber codons, we present a step-by-step approach for effective phage library screening to isolate useful antibodies. The procedure calls for creating a simple new vector system for soluble production of phage ELISA positive binding clones with one or more amber stop codons in their single-chain antibody fragment (scFv) gene sequences, which is otherwise difficult in standard screening.Graphical abstract:
科研通智能强力驱动
Strongly Powered by AbleSci AI