Publication Details
Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization
Kurumbang Nagendra, Ph.D. (LL)
Bendl Jaroslav, Ing., Ph.D. (FIT BUT)
Brezovský Jan, Mgr., Ph.D. (LL)
Prokop Zbyněk, doc. RnDr., Ph.D. (LL)
Damborský Jiří, prof. Mgr., Dr. (LL)
biocatalysis, biotransformation, kinetic modelling
Multi-enzyme processes represent an important area of biocatalysis. Their efficiency can be enhanced by optimization of biocatalysts’ stoichiometry. Here we present a workflow for maximizing the efficiency of a three-enzyme system catalysing a five-step chemical conversion. Kinetic models of pathways featuring either wild-type or engineered enzymes were built and the enzyme stoichiometry of each pathway was optimized. Mathematical modelling and one-pot multi-enzyme laboratory experiments provided detailed insights into pathway dynamics, enabled the selection of suitable engineered enzyme and afforded high efficiency while minimizing biocatalyst loadings. The optimizing of stoichiometry in a pathway with engineered enzyme reduced the total biocatalyst load by an impressive 56 %. Our new workflow represents a broadly applicable strategy for optimizing multi-enzyme processes.
@ARTICLE{FITPUB10595, author = "Pavel Dvo\v{r}\'{a}k and Nagendra Kurumbang and Jaroslav Bendl and Jan Brezovsk\'{y} and Zbyn\v{e}k Prokop and Ji\v{r}\'{i} Damborsk\'{y}", title = "Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization", pages = "1891--1895", journal = "ChemBioChem", volume = 15, number = 13, year = 2014, ISSN = "1439-4227", doi = "10.1002/cbic.201402265", language = "english", url = "https://www.fit.vut.cz/research/publication/10595" }