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BORKO, S. HON, J. BEDNÁŘ, D. DAMBORSKÝ, J. MARTÍNEK, T. PROKOP, Z. ŠTOURAČ, J. ZENDULKA, J.
Product 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/.
Keywords
computational characterization, enzyme mining, enzyme diversity, novel biocatalysts
Create date
2. 6. 2020
Location
https://loschmidt.chemi.muni.cz/enzymeminer/
Possibilities of use
Využití výsledku jiným subjektem je v některých případech možné bez nabytí licence
Licence fee
Poskytovatel licence na výsledek nepožaduje licenční poplatek
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