Publication Details
Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization
Kurumbang Nagendra (FIT)
Bendl Jaroslav, Ing., Ph.D.
Brezovský Jan (FIT)
Prokop Zbyněk (FIT)
Damborský Jiří, prof. Mgr., Dr. (UMEL)
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{BUT133484,
author="Pavel {Dvořák} and Nagendra {Kurumbang} and Jaroslav {Bendl} and Jan {Brezovský} and Zbyněk {Prokop} and Jiří {Damborský}",
title="Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization",
journal="CHEMBIOCHEM",
year="2014",
volume="15",
number="13",
pages="1891--1895",
doi="10.1002/cbic.201402265",
issn="1439-4227",
url="http://onlinelibrary.wiley.com/doi/10.1002/cbic.201402265/full"
}