Dynamic Optimization of the PyNP/PNP Phosphorolytic Enzymatic Process Using MOSAICmodeling

被引：2

作者：

Wilms, Terrance ^{[1
]}

Rischawy, Daniel Federico ^{[1
]}

Barz, Tilman ^{[2
]}

Esche, Erik ^{[3
]}

Repke, Jens-Uwe ^{[3
]}

Wagner, Anke ^{[1
,4
]}

Neubauer, Peter ^{[1
]}

Bournazou, Mariano Nicolas Cruz ^{[1
]}

机构：

[1] TU Berlin, Bioproc Engn, Ackerstr 76, D-13355 Berlin, Germany

[2] AIT Austrian Inst Technol GmbH, Donau City Str 1, A-1220 Vienna, Austria

[3] TU Berlin, Proc Dynam & Operat Grp, Str 17 Juni 135, D-10623 Berlin, Germany

[4] BioNukleo GmbH, Ackerstr 76, D-13355 Berlin, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2017年 / 89卷 / 11期

关键词：

Global optimality; Mixed-integer dynamic optimization; Modified nucleosides; Orthogonal collocation; Process optimization; Transglycosylation; NUCLEOSIDE PHOSPHORYLASES; ORTHOGONAL COLLOCATION; PURINE; MODEL;

D O I：

10.1002/cite.201700065

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

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.

引用

页码：1523 / 1533

页数：11

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