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R 选择性ω-转氨酶的动力学分析用于确定固有动力学参数和手性胺动力学拆分的计算建模。

Kinetic Analysis of R-Selective ω-Transaminases for Determination of Intrinsic Kinetic Parameters and Computational Modeling of Kinetic Resolution of Chiral Amine.

机构信息

Department of Biotechnology, Yonsei University, Engineering Building #2 (Rm 512), 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.

出版信息

Appl Biochem Biotechnol. 2020 May;191(1):92-103. doi: 10.1007/s12010-020-03240-x. Epub 2020 Jan 30.

Abstract

Reliable kinetic parameters of enzymes are of paramount importance for a precise understanding of catalytic performance, which is essential for enzyme engineering and process optimization. Here, we developed a simple and convenient method to determine intrinsic kinetic parameters of R-selective ω-transaminases (ω-TAs) with a minimal set of kinetic data. Using (R)-α-methylbenzylamine ((R)-α-MBA) and pyruvate as a substrate pair, two R-selective ω-TAs from Arthrobacter sp. and Aspergillus fumigatus were subjected to kinetic measurements. In contrast to S-selective ω-TAs, both R-selective ω-TAs were observed to be devoid of substrate inhibition by pyruvate. Double reciprocal plot analysis was carried out with two sets of kinetic data obtained at varying concentrations of (R)-α-MBA under a fixed concentration of pyruvate and vice versa, leading to the determination of three intrinsic kinetic parameters, i.e., one k and two K values, using three regression constants. The validity of the kinetic parameters was verified by a self-consistency test using a regression constant left out in the kinetic parameter determination, showing that deviations of calculated regression constants from the experimental ones were less than 15%. Because the kinetic parameters for (R)-α-MBA and pyruvate are not apparent but intrinsic, a cosubstrate substitution method enabled rapid determination of intrinsic parameters for a new substrate pair using just one set of kinetic data. Eventually, computational modeling of kinetic resolution of rac-α-MBA was carried out and showed a good agreement with experimental reaction progresses.

摘要

酶的可靠动力学参数对于准确理解催化性能至关重要,这对于酶工程和过程优化至关重要。在这里,我们开发了一种简单方便的方法,仅用最小的动力学数据集即可确定 R 选择性 ω-转氨酶(ω-TA)的固有动力学参数。使用(R)-α-甲基苄胺((R)-α-MBA)和丙酮酸作为底物对,来自节杆菌和烟曲霉的两种 R 选择性 ω-TA 进行了动力学测量。与 S 选择性 ω-TA 不同,两种 R 选择性 ω-TA 均未观察到丙酮酸对其的底物抑制作用。在固定浓度的丙酮酸和相反的条件下,通过两个不同(R)-α-MBA 浓度的动力学数据集进行双倒数作图分析,从而使用三个回归常数确定了三个固有动力学参数,即一个 k 和两个 K 值。通过在动力学参数确定中排除一个回归常数的自洽性检验来验证动力学参数的有效性,结果表明,计算得到的回归常数与实验值的偏差小于 15%。由于(R)-α-MBA 和丙酮酸的动力学参数不明显但固有,因此使用一组动力学数据即可通过共底物替代方法快速确定新底物对的固有参数。最终,对 rac-α-MBA 的动力学拆分进行了计算建模,结果与实验反应进程吻合良好。

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