Discovery of Antimicrobial Lysins from the “Dark Matter” of Uncharacterized Phages Using Artificial...
Discovery of Antimicrobial Lysins from the “Dark Matter” of Uncharacterized Phages Using Artificial Intelligence
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Author / Creator
Zhang, Yue , Li, Runze , Zou, Geng , Guo, Yating , Wu, Renwei , Zhou, Yang , Chen, Huanchun , Zhou, Rui , Lavigne, Rob , Bergen, Phillip J. , Li, Jian and Li, Jinquan
Publisher
Germany: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Germany: John Wiley & Sons, Inc
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Scope and Contents
Contents
The rapid rise of antibiotic resistance and slow discovery of new antibiotics have threatened global health. While novel phage lysins have emerged as potential antibacterial agents, experimental screening methods for novel lysins pose significant challenges due to the enormous workload. Here, the first unified software package, namely DeepLysin, is...
Alternative Titles
Full title
Discovery of Antimicrobial Lysins from the “Dark Matter” of Uncharacterized Phages Using Artificial Intelligence
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_058f03aed6d747c5abe0c23ef8f484a6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_058f03aed6d747c5abe0c23ef8f484a6
Other Identifiers
ISSN
2198-3844
E-ISSN
2198-3844
DOI
10.1002/advs.202404049
