EnzymeMiner: Web Server for Automated Mining and Annotation of Soluble Enzymes in Genomic Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135494" target="_blank" >RIV/00216305:26230/19:PU135494 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
EnzymeMiner: Web Server for Automated Mining and Annotation of Soluble Enzymes in Genomic Databases
Original language description
Millions of protein sequences are being discovered at an incredible pace, representing an inexhaustible source of biocatalysts [1]. Traditional biochemical characterization techniques are time-demanding, cost-ineffective, and low-throughput. To address these limitations, we have developed EnzymeMiner web server for automated and periodic in silico screening of diverse family members. EnzymeMiner helps to effectively prioritize and select novel putative enzyme sequences by providing sequence similarity network visualization, active site and Pfam annotations, observations from BioProject database and prediction of protein solubility using SoluProt method [2]. EnzymeMiner provides highly interactive and easy-to-use web interface enabling well-informed selection of promising soluble enzymes for further experimental characterization. The only required input is an EC number. Using EnzymeMiner, a number of novel haloalkane dehalogenases with potential practical uses have been identified, characte
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů