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.

Základní údaje

Originální název

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

Autoři

DVOŘÁK, Pavel; Nagendra Prasad KURUMBANG; Jaroslav BENDL; Jan BREZOVSKÝ; Zbyněk PROKOP a Jiří DAMBORSKÝ

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 3.088

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/14:00074203

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

biocatalysis; engineered enzymes

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 21. 3. 2017 07:35, prof. Mgr. Jiří Damborský, Dr.

Anotace

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.

Návaznosti

EE2.3.30.0037, projekt VaV

Název: Zaměstnáním nejlepších mladých vědců k rozvoji mezinárodní spolupráce

GAP503/12/0572, projekt VaV

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

Investor: Grantová agentura ČR, Konstrukce syntetické metabolické dráhy pro degradaci důležitého environmentlního polutantu proteinovým a metabolickým inženýrstvím

Citovat

DVOŘÁK, Pavel; Nagendra Prasad KURUMBANG; Jaroslav BENDL; Jan BREZOVSKÝ; Zbyněk PROKOP a Jiří DAMBORSKÝ. Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization. ChemBioChem. WEINHEIM: WILEY-VCH, 2014, roč. 15, č. 13, s. 1891-1895. ISSN 1439-4227. Dostupné z: https://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 = {https://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 a Jiří DAMBORSKÝ. Maximizing the Efficiency of Multi-enzyme Process by Stoichiometry Optimization. \textit{ChemBioChem}. WEINHEIM: WILEY-VCH, 2014, roč.~15, č.~13, s.~1891-1895. ISSN~1439-4227. Dostupné z: https://doi.org/10.1002/cbic.201402265.

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