Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning-Reference-Cited by-同舟云学术

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Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning

Published:2024-04 Issue: Volume:186 Page:108574
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Xu Jiaqi,Xu Xin^ORCID,Jiang Yunhan,Fu Yulong,Shen Chaofeng^ORCID

Publisher

Elsevier BV

Reference83 articles.

1. Removal of pathogenic bacteria from sewage-treated effluent and biosolids for agricultural purposes;Al-Gheethi;Appl. Water Sci.,2018

2. Methods and protocols of modern solid phase peptide synthesis;Amblard;Mol. Biotechnol.,2006

3. Improving the activity of trp-rich antimicrobial peptides by Arg/Lys substitutions and changing the length of cationic residues;Arias;Biomolecules,2018

4. Natural language processing in text mining for structural modeling of protein complexes;Badal;BMC Bioinf.,2018

5. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3;Beghini;Elife,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying and characterization of novel broad-spectrum bacteriocins from the Shanxi aged vinegar microbiome: Machine learning, molecular simulation, and activity validation;International Journal of Biological Macromolecules;2024-06

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