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%2F00159816%3A_____%2F20%3A00073000" target="_blank" >RIV/00159816:_____/20:00073000 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/20:00117412 RIV/00216305:26230/20:PU138647

Result on the web

<a href="https://academic.oup.com/nar/article/48/W1/W104/5835821" target="_blank" >https://academic.oup.com/nar/article/48/W1/W104/5835821</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/nar/gkaa372" target="_blank" >10.1093/nar/gkaa372</a>

Result language

angličtina

Original language name

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

Original language description

Millions of protein sequences are being discovered at an incredible pace, representing an inexhaustible source of biocatalysts. Despite genomic databases growing exponentially, classical biochemical characterization techniques are time-demanding, cost-ineffective and low-throughput. Therefore, computational methods are being developed to explore the unmapped sequence space efficiently. Selection of putative enzymes for biochemical characterization based on rational and robust analysis of all available sequences remains an unsolved problem. To address this challenge, we have developed EnzymeMiner-a web server for automated screening and annotation of diverse family members that enables selection of hits for wet-lab experiments. 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10608 - Biochemistry and molecular biology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

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Volume of the periodical

48

Issue of the periodical within the volume

W1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

6

Pages from-to

"W104"-"W109"

UT code for WoS article

000562474100017

EID of the result in the Scopus database

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