EnzymeMiner: automated mining of soluble enzymes with diverse structures, catalytic properties and stabilities

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APR34228" target="_blank" >RIV/00216305:26230/20:PR34228 - isvavai.cz</a>
Result on the web
<a href="https://loschmidt.chemi.muni.cz/enzymeminer/" target="_blank" >https://loschmidt.chemi.muni.cz/enzymeminer/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
EnzymeMiner: automated mining of soluble enzymes with diverse structures, catalytic properties and stabilities
Original language description
EnzymeMiner prioritizes sequences that are more likely to preserve the catalytic activity and are heterologously expressible in a soluble form in Escherichia coli. The solubility prediction employs the in-house SoluProt predictor developed using machine learning. EnzymeMiner reduces the time devoted to data gathering, multi-step analysis, sequence prioritization and selection from days to hours. The successful use case for the haloalkane dehalogenase family is described in a comprehensive tutorial available on the EnzymeMiner web page. EnzymeMiner is a universal tool applicable to any enzyme family that provides an interactive and easy-to-use web interface freely available at https://loschmidt.chemi.muni.cz/enzymeminer/.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID
EnzymeMiner
Technical parameters
Pro informace o licenčních podmínkách prosím kontaktujte: Mgr. Radka Báčová, Výzkumné centrum informačních technologií, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 473.
Economical parameters
EnzymeMiner je poskytován jako nezisková webová služba pro vědeckou komunitu.
Owner IČO
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Owner name
Fakulta informačních technologií

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