Dynamic Modelling of Phosphorolytic Cleavage Catalyzed by Pyrimidine-Nucleoside Phosphorylase

• Published in: Processes Vol. 7; no. 6; p. 380
• Main Authors: Giessmann, Robert T., Krausch, Niels, Kaspar, Felix, Cruz Bournazou, Mariano Nicolas, Wagner, Anke, Neubauer, Peter, Gimpel, Matthias
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2019
• Subjects: Cascade chemical reactions; Differential equations; Dynamic models; Enzymes; Equilibrium; Molecular weight; Nucleosides; Ordinary differential equations; Parameter estimation; Pentose; Phosphates; Phosphorylase; Phosphorylases; Pyrimidine-nucleoside phosphorylase; Software; Substrates; Thymine
• ISSN: 2227-9717; 2227-9717
• DOI: 10.3390/pr7060380

Pyrimidine-nucleoside phosphorylases (Py-NPases) have a significant potential to contribute to the economic and ecological production of modified nucleosides. These can be produced via pentose-1-phosphates, an interesting but mostly labile and expensive precursor. Thus far, no dynamic model exists for the production process of pentose-1-phosphates, which involves the equilibrium state of the Py-NPase catalyzed reversible reaction. Previously developed enzymological models are based on the understanding of the structural principles of the enzyme and focus on the description of initial rates only. The model generation is further complicated, as Py-NPases accept two substrates which they convert to two products. To create a well-balanced model from accurate experimental data, we utilized an improved high-throughput spectroscopic assay to monitor reactions over the whole time course until equilibrium was reached. We examined the conversion of deoxythymidine and phosphate to deoxyribose-1-phosphate and thymine by a thermophilic Py-NPase from Geobacillus thermoglucosidasius. The developed process model described the reactant concentrations in excellent agreement with the experimental data. Our model is built from ordinary differential equations and structured in such a way that integration with other models is possible in the future. These could be the kinetics of other enzymes for enzymatic cascade reactions or reactor descriptions to generate integrated process models.