Novel enzymes through design and evolution.

Kenneth J Woycechowsky, Katherina Vamvaca, Donald Hilvert
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引用次数: 18

Abstract

The generation of enzymes with new catalytic activities remains a major challenge. So far, several different strategies have been developed to tackle this problem, including site-directed mutagenesis, random mutagenesis (directed evolution), antibody catalysis, computational redesign, and de novo methods. Using these techniques, a broad array of novel enzymes has been created (aldolases, decarboxylases, dehydratases, isomerases, oxidases, reductases, and others), although their low efficiencies (10 to 100 M(-1) s(-l)) compared to those of the best natural enzymes (10(6) to 10(8) M(-1) s(-1)) remains a significant concern. Whereas rational design might be the most promising and versatile approach to generating new activities, directed evolution seems to be the best way to optimize the catalytic properties of novel enzymes. Indeed, impressive successes in enzyme engineering have resulted from a combination of rational and random design.

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通过设计和进化的新酶。
产生具有新的催化活性的酶仍然是一个主要的挑战。到目前为止,已经开发了几种不同的策略来解决这个问题,包括定点诱变、随机诱变(定向进化)、抗体催化、计算重新设计和新生方法。利用这些技术,已经产生了大量的新型酶(醛缩酶、脱羧酶、脱水酶、异构酶、氧化酶、还原酶等),尽管与最好的天然酶(10(6)到10(8)M(-1) s(-1)相比,它们的效率低(10到100 M(-1) s(-1))仍然是一个值得关注的问题。尽管理性设计可能是产生新活性的最有前途和最通用的方法,但定向进化似乎是优化新酶催化性能的最佳方法。事实上,酶工程中令人印象深刻的成功源于理性和随机设计的结合。
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