Publication Details
EnzymeMiner: Web Server for Automated Mining and Annotation of Soluble Enzymes in Genomic Databases
Borko Simeon, Ing.
Marušiak Martin, Ing.
Martínek Tomáš, doc. Ing., Ph.D. (DCSY)
Bednář David
Damborský Jiří, prof. Mgr., Dr. (UMEL)
computational characterization, enzyme mining, enzyme diversity, novel
biocatalysts
Millions of protein sequences are being discovered at an incredible pace,
representing an inexhaustible source of biocatalysts [1]. Traditional biochemical
characterization techniques are time-demanding, cost-ineffective, and
low-throughput. To address these limitations, we have developed EnzymeMiner web
server for automated and periodic in silico screening of diverse family members.
EnzymeMiner helps to effectively prioritize and select novel putative enzyme
sequences by providing sequence similarity network visualization, active site and
Pfam annotations, observations from BioProject database and prediction of protein
solubility using SoluProt method [2]. EnzymeMiner provides highly interactive and
easy-to-use web interface enabling well-informed selection of promising soluble
enzymes for further experimental characterization. The only required input is an
EC number. Using EnzymeMiner, a number of novel haloalkane dehalogenases with
potential practical uses have been identified, characterized, and made available
to the community in industry and academia [1]. A further application of
EnzymeMiner to other enzyme families will expand our knowledge of protein
evolution and will lead to the discovery of novel biocatalysts. [1] Vanacek et
al. 2018, Exploration of Enzyme Diversity by Integrating Bioinformatics with
Expression Analysis and Biochemical Characterization. ACS Catalysis 8: 2402-2412
[2] Hon et al. 2019, SoluProt: Prediction of Protein Solubility. Bioinformatics
(in preparation)
@misc{BUT162275,
author="Jiří {Hon} and Simeon {Borko} and Martin {Marušiak} and Tomáš {Martínek} and David {Bednář} and Jiří {Damborský}",
title="EnzymeMiner: Web Server for Automated Mining and Annotation of Soluble Enzymes in Genomic Databases",
booktitle="ISMB/ECCB 2019",
year="2019",
pages="1",
address="Basilej",
note="presentation, poster"
}