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探索肯普消除酶两条定向进化路径中基态去稳定化和过渡态稳定化的发展

Exploring the Development of Ground-State Destabilization and Transition-State Stabilization in Two Directed Evolution Paths of Kemp Eliminases.

作者信息

Jindal Garima, Ramachandran Balajee, Bora Ram Prasad, Warshel Arieh

机构信息

Department of Chemistry, University of Southern California, 3620 McClintock Avenue, Los Angeles, California 90089, United States.

出版信息

ACS Catal. 2017 May 5;7(5):3301-3305. doi: 10.1021/acscatal.7b00171. Epub 2017 Mar 30.

Abstract

Computer-aided enzyme design presents a major challenge since in most cases it has not resulted in an impressive catalytic power. The reasons for the problems with computational design include the use of nonquantitative approaches, but they may also reflect other difficulties that are not completely obvious. Thus, it is very useful to try to learn from the trend in directed evolution experiments. Here we explore the nature of the refinement of Kemp eliminases by directed evolution, trying to gain an understanding of related requirements from computational design. The observed trend in the directed evolution refinement of KE07 and HG3 are reproduced, showing that in the case of KE07 the directed evolution leads to ground-state destabilization, whereas in the case of HG3 the directed evolution leads to transition-state stabilization. The nature of the different paths of the directed evolution is examined and discussed. The present study seems to indicate that computer-aided enzyme design may require more than calculations of the effect of single mutations and should be extended to calculations of the effect of simultaneous multiple mutations (that make a few residues preorganized effectively). However, the analysis of two known evolution paths can still be accomplished using the relevant sequences and structures. Thus, by comparing two directed evolution paths of Kemp eliminases we reached the important conclusion that the more effective path leads to transition-state stabilization.

摘要

计算机辅助酶设计面临着重大挑战,因为在大多数情况下,它并未产生令人印象深刻的催化能力。计算设计存在问题的原因包括使用非定量方法,但也可能反映出其他一些不太明显的困难。因此,尝试从定向进化实验的趋势中学习是非常有用的。在这里,我们探讨了通过定向进化对肯普消除酶进行优化的本质,试图了解计算设计的相关要求。KE07和HG3在定向进化优化过程中观察到的趋势得以重现,这表明在KE07的情况下,定向进化导致基态不稳定,而在HG3的情况下,定向进化导致过渡态稳定。我们对定向进化不同路径的本质进行了研究和讨论。本研究似乎表明,计算机辅助酶设计可能需要的不仅仅是单个突变效应的计算,还应扩展到同时多个突变(使几个残基有效预组织)效应的计算。然而,利用相关的序列和结构仍然可以完成对两条已知进化路径的分析。因此,通过比较肯普消除酶的两条定向进化路径,我们得出了一个重要结论:更有效的路径会导致过渡态稳定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057d/5658032/b7a5b37a4069/nihms876019f1.jpg

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