Division of Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Curr Opin Chem Biol. 2011 Apr;15(2):201-10. doi: 10.1016/j.cbpa.2010.11.020. Epub 2010 Dec 23.
Developing technologies such as unnatural amino acid mutagenesis, non-natural cofactor engineering, and computational design are generating proteins with novel functions; these proteins, however, often do not reach performance targets and would benefit from further optimization. Evolutionary methods can complement these approaches: recent work combining unnatural amino acid mutagenesis and phage selection has created useful proteins of novel composition. Weak initial activity in a computationally designed enzyme has been improved by iterative rounds of mutagenesis and screening. A marriage of ingenuity and evolution will expand the scope of protein function well beyond Mother Nature's designs.
开发非天然氨基酸诱变、非天然辅因子工程和计算设计等技术正在产生具有新颖功能的蛋白质;然而,这些蛋白质通常达不到性能目标,需要进一步优化。进化方法可以补充这些方法:最近结合非天然氨基酸诱变和噬菌体选择的工作创造了具有新颖组成的有用蛋白质。通过反复的诱变和筛选,计算设计的酶的初始活性较弱得到了提高。巧妙与进化的结合将极大地扩展蛋白质功能的范围,超越大自然的设计。