In the last 40 years, advances in protein engineering and evolution have prompted the application of biocatalysts in the synthesis of active pharmaceutical ingredients (API), as well as fine and bulk chemicals for the agrochemical, food, biofuel, and pharmaceutical industries. Computational chemistry methodologies in conjunction with smart variant library generation and high-throughput screening are fueling the development of a new generation of rationally designed biocatalysts with enhanced selectivity and specificity at a fraction of the time and cost of what was achievable a mere decade ago.

使用多样化的天然序列和定向进化来提高目标反应中的酶活性

利用这些设计技巧，可最大限度地提高基因合成和下游实验的成功率。