MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence

As the availability of high-throughput metagenomic data is increasing, agile and accurate tools are required to analyze and exploit this valuable and plentiful resource. Cellulose-degrading enzymes have various applications, and finding appropriate cellulases for different purposes is becoming incre...

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Detalhes bibliográficos
Main Authors: Mehdi Foroozandeh Shahraki, Shohreh Ariaeenejad, Fereshteh Fallah Atanaki, Behrouz Zolfaghari, Takeshi Koshiba, Kaveh Kavousi, Ghasem Hosseini Salekdeh
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020-10-01
Colecção:Frontiers in Microbiology
Assuntos:
cellulase
machine learning
metagenomics
enzyme screening
optimum temperature
optimum pH
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmicb.2020.567863/full
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