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Quantitative Prediction of Yield in Transglycosylation Reaction Catalyzed by Nucleoside Phosphorylases
Advanced Synthesis & Catalysis ( IF 5.4 ) Pub Date : 2018-07-02 , DOI: 10.1002/adsc.201800411
Cyril S. Alexeev 1 , Irina V. Kulikova 1 , Sergei Gavryushov 1, 2 , Vitali I. Tararov 1 , Sergey N. Mikhailov 1
Affiliation  

Phosphorolytic transglycosylation catalyzed by nucleoside phosphorylases is an important biotechnological process. The reaction is reversible, and the yield of the target nucleoside depends on its concentration at the equilibrium state. We have shown that initial concentrations of the starting compounds and the phosphorolysis equilibrium constants of starting and final glycosides determine concentrations of all the components at the equilibrium state. Based on that, we developed a novel quantitative approach for the prediction of yields in transglycosylation reactions. This method simplifies the choice of reagent concentrations and their ratios for the maximization of the target nucleoside yield. It is advantageous over widely applied blind and cumbersome trial‐and‐error approach and can reduce the required chemical and energy resources. The described algorithm could also be applied for other equilibrium transfer reactions.

中文翻译:

核苷磷酸化酶催化转糖基化反应产率的定量预测

核苷磷酸化酶催化的磷酸水解转糖基化是重要的生物技术过程。该反应是可逆的,并且目标核苷的产率取决于其在平衡状态下的浓度。我们已经表明,起始化合物的初始浓度以及起始和最终糖苷的磷解平衡常数决定了处于平衡状态的所有组分的浓度。在此基础上,我们开发了一种新颖的定量方法来预测转糖基化反应的产率。该方法简化了试剂浓度及其比例的选择,以最大程度地提高目标核苷的收率。与广泛应用的盲目且繁琐的反复试验方法相比,它具有优势,并且可以减少所需的化学和能源资源。
更新日期:2018-07-02
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