Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel.
Israel Structural Proteomics Center, Weizmann Institute of Science, Rehovot 7610001, Israel.
Mol Cell. 2018 Oct 4;72(1):178-186.e5. doi: 10.1016/j.molcel.2018.08.033. Epub 2018 Sep 27.
Substantial improvements in enzyme activity demand multiple mutations at spatially proximal positions in the active site. Such mutations, however, often exhibit unpredictable epistatic (non-additive) effects on activity. Here we describe FuncLib, an automated method for designing multipoint mutations at enzyme active sites using phylogenetic analysis and Rosetta design calculations. We applied FuncLib to two unrelated enzymes, a phosphotriesterase and an acetyl-CoA synthetase. All designs were active, and most showed activity profiles that significantly differed from the wild-type and from one another. Several dozen designs with only 3-6 active-site mutations exhibited 10- to 4,000-fold higher efficiencies with a range of alternative substrates, including hydrolysis of the toxic organophosphate nerve agents soman and cyclosarin and synthesis of butyryl-CoA. FuncLib is implemented as a web server (http://FuncLib.weizmann.ac.il); it circumvents iterative, high-throughput experimental screens and opens the way to designing highly efficient and diverse catalytic repertoires.
在酶的活性部位,空间上相近的位置需要多个突变才能得到显著的改善。然而,这种突变通常对活性表现出不可预测的上位性(非加性)影响。本文介绍了 FuncLib,这是一种使用系统发生分析和 Rosetta 设计计算在酶活性部位设计多点突变的自动化方法。我们将 FuncLib 应用于两种不相关的酶,一种是磷酸三酯酶,另一种是乙酰辅酶 A 合成酶。所有的设计都具有活性,而且大多数都表现出与野生型和彼此之间显著不同的活性谱。几十个只有 3-6 个活性部位突变的设计在一系列替代底物(包括水解有毒有机磷神经毒剂沙林和梭曼,以及合成丁酰辅酶 A)中的效率提高了 10-4000 倍。FuncLib 被实现为一个网络服务器(http://FuncLib.weizmann.ac.il);它避免了迭代的高通量实验筛选,为设计高效多样的催化库开辟了道路。