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Dynamic Optimization of the PyNP/PNP Phosphorolytic Enzymatic Process Using MOSAICmodeling
Author(s) -
Wilms Terrance,
Rischawy Daniel Federico,
Barz Tilman,
Esche Erik,
Repke JensUwe,
Wagner Anke,
Neubauer Peter,
Cruz Bournazou Mariano Nicolas
Publication year - 2017
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201700065
Subject(s) - pyrimidine , purine , glycosidic bond , nucleoside , chemistry , combinatorial chemistry , cleavage (geology) , catalysis , enzyme , organic chemistry , stereochemistry , materials science , fracture (geology) , composite material
Pyrimidine and purine nucleoside phosphorylases catalyze the reversible phosphorolytic cleavage and formation of the glycosidic bond of purine and pyrimidine nucleosides, respectively, and are thus, key catalysts for the synthesis of new compounds. The selection of the best combination of enzyme and reaction conditions is not trivial, as each of the two enzymes can perform the reaction in two directions and thus, also competes with the other one for the reaction intermediates. A generic approach to the solution of this problem based on the formulation of a mixed integer dynamic optimization program using MOSAICmodeling is presented.