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TWO STRATEGIES TO ENGINEER FLEXIBLE LOOPS FOR IMPROVED ENZYME THERMOSTABILITY

机译:工程师灵活应用的两种策略,可提高酶的热稳定性

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The stereospecifically controlled carbon-carbon bond forming ability of Escherichia coli transketolase (TK) makes it very promising as a biocatalyst in industry. However, as a mesophilic enzyme the enzyme suffers the limitation of low stability to elevated temperatures and extremes of pH, limiting its current use in industrial processes. Flexible sites are potential targets for engineering the stability of enzymes. Nevertheless, the success rate of the rigidifying flexible sites (RFS) strategy is still low due to a limited understanding of how to determine the best mutation candidates. In this study, two parallel strategies were applied to identify mutation candidates within the flexible loops of TK. The first was a "back to consensus mutations" approach, and the second was computational design based on AAG calculations in Rosetta. Forty-nine single variants were generated and characterised experimentally. From these, three single-variants I189H, A282P, D143K were found to be more thermostable than wild-type TK. The combination of A282P with H192P, a variant constructed previously, resulted in the best all-round variant with a 3-fold improved half-life at 60℃, 5-fold increased specific activity at 65℃, 1.3-fold improved k_(cat) and a T_m increased by 5℃ above that of wild type. Based on a statistical analysis of the stability changes for all variants, the qualitative prediction accuracy of the Rosetta program reached 65.3%. Furthermore, molecular dynamics (MD) simulations of variants confirmed a good inverse correlation between protein stability and local flexibility which was determined by the magnitude of fluctuations with respect to the average conformations. Both of the two strategies investigated were useful in guiding mutation candidates to flexible loops, and had the potential to be used for other enzymes.
机译:大肠杆菌转酮醇酶(TK)的立体定向控制的碳-碳键形成能力使其在工业中作为生物催化剂非常有前途。然而,作为嗜温酶,该酶受到对高温的低稳定性和极端pH的限制,限制了其目前在工业过程中的使用。柔性位点是工程化酶稳定性的潜在目标。但是,由于对如何确定最佳突变候选者的了解有限,因此,刚性化柔性位点(RFS)策略的成功率仍然很低。在这项研究中,应用了两种并行策略来识别TK灵活循环内的候选突变。第一种是“回到共识突变”方法,第二种是基于Rosetta中AAG计算的计算设计。生成了49个单一变体并进行了实验表征。从这些中,发现三个单变体I189H,A282P,D143K比野生型TK更热稳定。将A282P和H192P(先前构建的变体)结合使用可获得最佳的全能变体,在60℃下的半衰期提高了3倍,在65℃下的比活提高了5倍,k_(cat)提高了1.3倍),T_m比野生型高出5℃。根据所有变体稳定性变化的统计分析,Rosetta程序的定性预测准确性达到65.3%。此外,变体的分子动力学(MD)模拟证实了蛋白质稳定性和局部柔韧性之间的良好反相关性,这取决于相对于平均构象的波动幅度。所研究的两种策略均有助于将候选突变引导至柔性环,并具有用于其他酶的潜力。

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