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

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

Software

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/.

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/.

computational characterization, enzyme mining, enzyme diversity, novel biocatalysts

computational characterization, enzyme mining, enzyme diversity, novel biocatalysts

https://loschmidt.chemi.muni.cz/enzymeminer/

Využití výsledku jiným subjektem je v některých případech možné bez nabytí licence

https://loschmidt.chemi.muni.cz/enzymeminer/