Department of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
FEBS J. 2013 Jul;280(13):2948-60. doi: 10.1111/febs.12324. Epub 2013 Jun 3.
Computational protein design is becoming a powerful tool for tailoring enzymes for specific biotechnological applications. When applied to existing enzymes, computational re-design makes it possible to obtain orders of magnitude improvement in catalytic activity towards a new target substrate. Computational methods also allow the design of completely new active sites that catalyze reactions that are not known to occur in biological systems. If initial designs display modest catalytic activity, which is often the case, this may be improved by iterative cycles of computational design or by follow-up engineering through directed evolution. Compared to established protein engineering methods such as directed evolution and structure-based mutagenesis, computational design allows for much larger jumps in sequence space; for example, by introducing more than a dozen mutations in a single step or by introducing loops that provide new functional interactions. Recent advances in the computational design toolbox, which include new backbone re-design methods and the use of molecular dynamics simulations to better predict the catalytic activity of designed variants, will further enhance the use of computational tools in enzyme engineering.
计算蛋白质设计正在成为定制酶以满足特定生物技术应用的强大工具。当应用于现有酶时,计算重新设计使得在新目标底物的催化活性方面获得数量级的提高成为可能。计算方法还允许设计完全新的活性位点,催化在生物系统中未知发生的反应。如果初始设计显示出适度的催化活性,这在很多情况下是可能的,这可以通过计算设计的迭代循环或通过定向进化进行后续工程来提高。与定向进化和基于结构的诱变等既定的蛋白质工程方法相比,计算设计允许在序列空间中进行更大的跳跃;例如,通过在单个步骤中引入十几个突变,或通过引入提供新功能相互作用的环。计算设计工具箱的最新进展,包括新的骨架重新设计方法和使用分子动力学模拟来更好地预测设计变体的催化活性,将进一步增强计算工具在酶工程中的应用。