Maximizing the Efficiency of Multi-enzyme Process by
Stoichiometry Optimization.

J 2014

Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization.

DVOŘÁK, Pavel, Nagendra Prasad KURUMBANG, Jaroslav BENDL, Jan BREZOVSKÝ, Zbyněk PROKOP et. al.

Basic information

Original name

Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization.

Authors

DVOŘÁK, Pavel (203 Czech Republic, belonging to the institution), Nagendra Prasad KURUMBANG (524 Nepal, belonging to the institution), Jaroslav BENDL (203 Czech Republic, belonging to the institution), Jan BREZOVSKÝ (203 Czech Republic, belonging to the institution), Zbyněk PROKOP (203 Czech Republic, belonging to the institution) and Jiří DAMBORSKÝ (203 Czech Republic, guarantor, belonging to the institution)

Edition

ChemBioChem, WEINHEIM, WILEY-VCH, 2014, 1439-4227

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10600 1.6 Biological sciences

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 3.088

RIV identification code

RIV/00216224:14310/14:00074203

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1002/cbic.201402265

UT WoS

000341586100007

Keywords in English

biocatalysis; engineered enzymes

Abstract

V originále

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.

Links

EE2.3.30.0037, research and development project

Name: Zaměstnáním nejlepších mladých vědců k rozvoji mezinárodní spolupráce

GAP503/12/0572, research and development project

Name: Konstrukce syntetické metabolické dráhy pro degradaci důležitého environmentálního polutantu proteinovým a metabolickým inženýrstvím

Investor: Czech Science Foundation

Citovat

DVOŘÁK, Pavel, Nagendra Prasad KURUMBANG, Jaroslav BENDL, Jan BREZOVSKÝ, Zbyněk PROKOP and Jiří DAMBORSKÝ. Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization. ChemBioChem. WEINHEIM: WILEY-VCH, 2014, vol. 15, No 13, p. 1891-1895. ISSN 1439-4227. Available from: https://dx.doi.org/10.1002/cbic.201402265.

@article{1213428,
   author = {Dvořák, Pavel and Kurumbang, Nagendra Prasad and Bendl, Jaroslav and Brezovský, Jan and Prokop, Zbyněk and Damborský, Jiří},
   article_location = {WEINHEIM},
   article_number = {13},
   doi = {http://dx.doi.org/10.1002/cbic.201402265},
   keywords = {biocatalysis; engineered enzymes},
   language = {eng},
   issn = {1439-4227},
   journal = {ChemBioChem},
   title = {Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization.},
   volume = {15},
   year = {2014}
}

TY  - JOUR
ID  - 1213428
AU  - Dvořák, Pavel - Kurumbang, Nagendra Prasad - Bendl, Jaroslav - Brezovský, Jan - Prokop, Zbyněk - Damborský, Jiří
PY  - 2014
TI  - Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization.
JF  - ChemBioChem
VL  - 15
IS  - 13
SP  - 1891-1895
EP  - 1891-1895
PB  - WILEY-VCH
SN  - 14394227
KW  - biocatalysis
KW  - engineered enzymes
N2  - 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.
ER  -

DVOŘÁK, Pavel, Nagendra Prasad KURUMBANG, Jaroslav BENDL, Jan BREZOVSKÝ, Zbyněk PROKOP and Jiří DAMBORSKÝ. Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization. \textit{ChemBioChem}. WEINHEIM: WILEY-VCH, 2014, vol.~15, No~13, p.~1891-1895. ISSN~1439-4227. Available from: https://dx.doi.org/10.1002/cbic.201402265.

Detailed Information on Publication Record