化学
商业化
编码
遗传密码
计算生物学
编码(集合论)
氨基酸
领域(数学)
程序设计语言
生物
生物化学
业务
基因
计算机科学
营销
集合(抽象数据类型)
数学
纯数学
作者
Miglena Manandhar,Eugene Chun,Floyd E. Romesberg
摘要
Virtually all natural proteins are built from only 20 amino acids, and while this makes possible all the functions they perform, the ability to encode other amino acids selected for specific purposes promises to enable the discovery and production of proteins with novel functions, including therapeutic proteins with more optimal drug-like properties. The field of genetic code expansion (GCE) has for years enabled the production of such proteins for academic purposes and is now transitioning to commercialization for the production of more optimal protein therapeutics. Focusing on E. coli, we review the history and current state of the field. We also provide a review of the first generation commercialization efforts, the lessons learned, and how those lessons are guiding new efforts. With continued academic and industrial progress, GCE methodologies promise to make possible the routine optimization of proteins for therapeutic use in a way that has only previously been possible with small-molecule therapeutics.
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