Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics

Result code in 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>
Alternative codes found
RIV/00216305:26230/22:PU147439 RIV/00216224:14310/22:00128314
Result on the web
<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>

Result language
angličtina
Original language name
Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics
Original language description
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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10403 - Physical chemistry

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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