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计算机辅助表面工程在酶改进中的应用。

Computer-Guided Surface Engineering for Enzyme Improvement.

机构信息

CSIRO Land & Water, Black Mountain Laboratories, Canberra, ACT 2601, Australia.

Research School of Chemistry, Australian National University, Building 137 Sullivan's Creek Road, Canberra, ACT 2601, Australia.

出版信息

Sci Rep. 2018 Aug 10;8(1):11998. doi: 10.1038/s41598-018-30434-5.

Abstract

Protein engineering strategies are often guided by our understanding of how the structure of a protein determines its function. However, our understanding is generally restricted to small regions of a protein, namely the active site and its immediate vicinity, while the remainder of the protein is something of an enigma. Studying highly homologous transaminases with strictly conserved active sites, but different substrate preferences and activities, we predict and experimentally validate that the surface of the protein far from the active site carries out a decisive role in substrate selectivity and catalytic efficiency. Using a unique molecular dynamics approach and novel trajectory analysis, we demonstrate the phenomenon of surface-directed ligand diffusion in this well-known protein family for the first time. Further, we identify the residues involved in directing substrate, design surface channel variants endowed for improved kinetic properties and establish a broadly applicable new approach for protein engineering.

摘要

蛋白质工程策略通常受到我们对蛋白质结构如何决定其功能的理解的指导。然而,我们的理解通常仅限于蛋白质的小区域,即活性部位及其附近区域,而蛋白质的其余部分则是一个谜。通过研究具有严格保守活性部位但底物偏好和活性不同的高度同源的转氨酶,我们预测并通过实验验证了远离活性部位的蛋白质表面在底物选择性和催化效率方面起着决定性作用。我们使用独特的分子动力学方法和新颖的轨迹分析,首次在这个著名的蛋白质家族中证明了表面导向配体扩散的现象。此外,我们确定了参与指导底物的残基,设计了具有改进动力学特性的表面通道变体,并建立了一种广泛适用的蛋白质工程新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a6/6086876/451e54858043/41598_2018_30434_Fig1_HTML.jpg

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