MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence-Reference-Cited by-同舟云学术

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

Published:2020-10-23 Issue: Volume:11 Page:
ISSN:1664-302X
Container-title:Frontiers in Microbiology
language:
Short-container-title:Front. Microbiol.

Author:

Foroozandeh Shahraki Mehdi,Ariaeenejad Shohreh,Fallah Atanaki Fereshteh,Zolfaghari Behrouz,Koshiba Takeshi,Kavousi Kaveh,Salekdeh Ghasem Hosseini

Funder

Agricultural Biotechnology Research Institute of Iran

Publisher

Frontiers Media SA

Subject

Microbiology (medical),Microbiology

Reference58 articles.

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3. The stabilizing mechanism of immobilized metagenomic xylanases on bio-based hydrogels to improve utilization performance: computational and functional perspectives.;Ariaeenejad;Bioconjug. Chem.

4. A novel high glucose-tolerant β -Glucosidase : targeted computational approach for metagenomic screening.;Ariaeenejad;Front. Bioeng. Biotechnol.

5. A novel high performance metagenome-derived alkali-thermostable endo-β-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions.;Ariaeenejad;Res. Square

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