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BORKO, S.; HON, J.; BEDNÁŘ, D.; DAMBORSKÝ, J.; MARTÍNEK, T.; PROKOP, Z.; ŠTOURAČ, J.; ZENDULKA, J.
Original Title
EnzymeMiner: automated mining of soluble enzymes with diverse structures, catalytic properties and stabilities
English Title
Type
Software
Abstract
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/.
Abstract in English
Keywords
computational characterization, enzyme mining, enzyme diversity, novel biocatalysts
Key words in English
Location
https://loschmidt.chemi.muni.cz/enzymeminer/
Licence fee
Use of the result by another entity is possible without acquiring a license in some cases
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