Quantitative Prediction of Yield in Transglycosylation Reaction Catalyzed by Nucleoside Phosphorylases. Issue 16 (2nd July 2018)

• Record Type: Journal Article
• Authors: Alexeev, Cyril S.; Kulikova, Irina V.; Gavryushov, Sergei; Tararov, Vitali I.; Mikhailov, Sergey N.
• Is Part Of: Advanced synthesis & catalysis. Volume 360:Issue 16(2018)
• Page Start: 3090
• Page End: 3096
• Publication Date: 2018-07-02
• Subjects: nucleoside phosphorolysis -- nucleoside phosphorylases -- transglycosylation -- equilibrium constants -- prediction and maximization of reaction outcome; Catalysis -- Periodicals; Organic compounds -- Synthesis -- Periodicals; Chemistry -- Periodicals; Chemistry, Technical -- Periodicals; Chemistry -- Periodicals; Catalysis -- Periodicals; Technology, Pharmaceutical -- Periodicals; 547.2
• DOI: 10.1002/adsc.201800411
• Languages: English
• ISSNs: 1615-4150

Abstract

Abstract: 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. Abstract :