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.
Other formats:   BibTeX LaTeX RIS
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
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
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
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: prof. Mgr. Jiří Damborský, Dr., učo 1441. Changed: 21/3/2017 07:35.
Abstract
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 projectName: Zaměstnáním nejlepších mladých vědců k rozvoji mezinárodní spolupráce
GAP503/12/0572, research and development projectName: Konstrukce syntetické metabolické dráhy pro degradaci důležitého environmentálního polutantu proteinovým a metabolickým inženýrstvím
Investor: Czech Science Foundation
PrintDisplayed: 14/7/2024 10:31