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通过利用B因子和折叠自由能计算的计算机辅助设计,从土曲霉中构建热稳定的(R)-选择性胺转氨酶。

Engineering thermostable (R)-selective amine transaminase from Aspergillus terreus through in silico design employing B-factor and folding free energy calculations.

作者信息

Huang Jun, Xie Dong-Fang, Feng Yan

机构信息

State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

出版信息

Biochem Biophys Res Commun. 2017 Jan 29;483(1):397-402. doi: 10.1016/j.bbrc.2016.12.131. Epub 2016 Dec 23.

DOI:10.1016/j.bbrc.2016.12.131
PMID:28017723
Abstract

Amine transaminases have recently gained a lot of attention for the synthesis of chiral amines. Using (R)-selective amine transaminase from Aspergillus terreus (AT-ATA) as a transaminase model, in silico design was applied employing B-factor and folding free energy (ΔΔG) calculations. Mutation sites were selected by targeting flexible regions with the greatest B-factors, and were substituted with amino acids that were determined by folding free energy calculations (ΔΔG < 0) to be more rigid than the original ones. By site-directed mutagenesis, we obtained four stabilized mutants (T130M, T130F, E133F and D134L) with improved stability from 19 candidates. Compared to the wild type, the best single mutant (T130M) showed an increase in thermal stability with a nearly 2.2-fold improvement of half-life (t) at 40 °C and a 3.5 °C higher T. The optimum catalytic temperature of T130F was increased by 10 °C. In addition, the T130M/E133F double mutant displayed the largest shift in thermostability with 3.3-fold improvement of t at 40 °C and a 5.0 °C higher T. Modeling analysis showed that new hydrophobic interactions and hydrogen bonds might contribute to the observed thermostability improvement.

摘要

最近,胺转氨酶在合成手性胺方面备受关注。以来源于土曲霉的(R)-选择性胺转氨酶(AT-ATA)作为转氨酶模型,应用计算机辅助设计,采用B因子和折叠自由能(ΔΔG)计算。通过靶向具有最大B因子的柔性区域来选择突变位点,并用通过折叠自由能计算(ΔΔG < 0)确定比原始氨基酸更刚性的氨基酸进行替换。通过定点诱变,我们从19个候选突变体中获得了4个稳定性提高的稳定突变体(T130M、T130F、E133F和D134L)。与野生型相比,最佳单突变体(T130M)在40°C时的热稳定性提高,半衰期(t)提高了近2.2倍,熔点(Tm)提高了3.5°C。T130F的最佳催化温度提高了10°C。此外,T130M/E133F双突变体在热稳定性方面表现出最大的变化,在40°C时t提高了3.3倍,Tm提高了5.0°C。模型分析表明,新的疏水相互作用和氢键可能有助于观察到的热稳定性提高。

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