生物传感器
高通量筛选
吞吐量
选择(遗传算法)
计算机科学
生化工程
筛选技术
合成生物学
计算生物学
生物技术
纳米技术
生物
生物信息学
工程类
人工智能
材料科学
电信
无线
作者
Hyun Gyu Lim,Se Bok Jang,Sungyeon Jang,Sang Woo Seo,Gyoo Yeol Jung
标识
DOI:10.1016/j.copbio.2018.01.011
摘要
Evolutionary engineering of microbes for the production of metabolites requires efficient screening methods to test vast mutant libraries. Genetically encoded biosensors are regarded as promising screening devices owing to their wide range of detectable ligands and great applicability to high-throughput screening and selection. Here, we reviewed the current progress in design and optimization of biosensors for high-throughput screening of chemicals. First, we summarized genetic parts of biosensors and strategies for their discovery and development. Next, we explained the properties of biosensors that are relevant to high-throughput screening. Finally, we described various methods for tuning biosensors to fulfill requirements of an efficient screening.
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