作者: Chang Ren , Xin Wen , Jun Mencius , Shu Quan
DOI: 10.1186/S40643-019-0288-Y
关键词: Selection (genetic algorithm) 、 Baseline (configuration management) 、 Set (psychology) 、 Novel protein 、 Directed evolution 、 Risk analysis (engineering) 、 Stability (learning theory) 、 Protein stability 、 Computer science
摘要: Protein stability is not only fundamental for experimental, industrial, and therapeutic applications, but is also the baseline for evolving novel protein functions. For decades, stability engineering armed with directed evolution has continued its rapid development and inevitably poses challenges. Generally, in directed evolution, establishing a reliable link between a genotype and any interpretable phenotype is more challenging than diversifying genetic libraries. Consequently, we set forth in a small picture to emphasize the screening or selection techniques in protein stability-directed evolution to secure the link. For a more systematic review, two main branches of these techniques, namely cellular or cell-free display and stability biosensors, are expounded with informative examples.