Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F22%3A00077764" target="_blank" >RIV/00159816:_____/22:00077764 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216305:26230/22:PU147439 RIV/00216224:14310/22:00128314
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/abs/pii/S2667109322005036" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S2667109322005036</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.checat.2022.09.011" target="_blank" >10.1016/j.checat.2022.09.011</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics
Popis výsledku v původním jazyce
Next-generation sequencing doubles genomic databases every 2.5 years. The accumulation of sequence data provides a unique opportunity to identify interesting biocatalysts directly in the databases without tedious and time-consuming engineering. Herein, we present a pipeline integrating sequence and structural bioinformatics with microfluidic enzymology for bioprospecting of efficient and robust haloalkane dehalogenases. The bioinformatic part identified 2,905 putative dehalogenases and prioritized a "small-but-smart'' set of 45 genes, yielding 40 active enzymes, 24 of which were biochemically characterized by microfluidic enzymology techniques. Combining microfluidics with modern global data analysis provided precious mechanistic insights related to the high catalytic efficiency of selected enzymes. Overall, we have doubled the dehalogenation "toolbox'' characterized over three decades, yielding biocatalysts that surpass the efficiency of currently available wild-type and engineered enzymes. This pipeline is generally applicable to other enzyme families and can accelerate the identification of efficient biocatalysts for industrial use.
Název v anglickém jazyce
Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics
Popis výsledku anglicky
Next-generation sequencing doubles genomic databases every 2.5 years. The accumulation of sequence data provides a unique opportunity to identify interesting biocatalysts directly in the databases without tedious and time-consuming engineering. Herein, we present a pipeline integrating sequence and structural bioinformatics with microfluidic enzymology for bioprospecting of efficient and robust haloalkane dehalogenases. The bioinformatic part identified 2,905 putative dehalogenases and prioritized a "small-but-smart'' set of 45 genes, yielding 40 active enzymes, 24 of which were biochemically characterized by microfluidic enzymology techniques. Combining microfluidics with modern global data analysis provided precious mechanistic insights related to the high catalytic efficiency of selected enzymes. Overall, we have doubled the dehalogenation "toolbox'' characterized over three decades, yielding biocatalysts that surpass the efficiency of currently available wild-type and engineered enzymes. This pipeline is generally applicable to other enzyme families and can accelerate the identification of efficient biocatalysts for industrial use.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10403 - Physical chemistry
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
CHEM CATALYSIS
ISSN
2667-1093
e-ISSN
—
Svazek periodika
2
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
22
Strana od-do
2704-2725
Kód UT WoS článku
000901460400007
EID výsledku v databázi Scopus
—