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Enhancing activity and thermostability of lipase A from Serratia marcescens by site-directed mutagenesis

机译:通过定点诱变提高粘质沙雷氏菌脂肪酶A的活性和热稳定性

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Lipases as significant biocatalysts had been widely employed to catalyze various chemical reactions such as ester hydrolysis, ester synthesis, and transesterification. Improving the activity and thermostability of enzymes is desirable for industrial applications. The lipase of Serratia marcescens belonging to family 1.3 lipase has a very important pharmaceutical application in production of chiral precursors. In the present study, to achieve improved lipase activity and thermostability, using computational predictions of protein, four mutant lipases of SML (MutG2P, MutG59P, Mut H279K and MutL613WA614P) were constructed by site-directed mutagenesis. The recombinant mutant proteins were over-expressed in E. coil and purified by affinity chromatography on the Ni-NTA system. Circular dichroism spectroscopy, differential scanning calorimetry and kinetic parameters (Km and kcat) were determined. Our results have shown that the secondary structure of all lipases was approximately similar to one another. The MutG2P and MutG59P were more stable than wild type by approximately 2.3 and 2.9 in T-1/2, respectively. The catalytic efficiency (kcat/Km) of MutH279K was enhanced by 2-fold as compared with the wild type (p < 0.05). These results indicate that using protein modeling program and creating mutation, can enhance lipase activity and/or thermostability of SML and it also could be used for improving other properties of enzyme to the desired requirements as well as further mutations. (C) 2016 Elsevier Inc. All rights reserved.
机译:脂肪酶作为重要的生物催化剂已被广泛用于催化各种化学反应,例如酯水解,酯合成和酯交换反应。对于工业应用而言,提高酶的活性和热稳定性是期望的。属于1.3族脂肪酶的粘质沙雷氏菌的脂肪酶在手性前体的生产中具有非常重要的药学应用。在本研究中,为了实现改善的脂肪酶活性和热稳定性,使用蛋白质的计算预测,通过定点诱变构建了SML的四个突变型脂肪酶(MutG2P,MutG59P,Mut H279K和MutL613WA614P)。重组突变蛋白在大肠杆菌中过表达,并通过Ni-NTA系统上的亲和层析纯化。测定了圆二色光谱,差示扫描量热法和动力学参数(Km和kcat)。我们的结果表明,所有脂肪酶的二级结构彼此近似相似。 MutG2P和MutG59P在野生型中的T-1 / 2分别比野生型稳定约2.3和2.9。与野生型相比,MutH279K的催化效率(kcat / Km)提高了2倍(p <0.05)。这些结果表明,使用蛋白质建模程序并创建突变,可以增强SML的脂肪酶活性和/或热稳定性,并且还可以用于将酶的其他特性提高到所需的要求以及进一步的突变。 (C)2016 Elsevier Inc.保留所有权利。

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