Published in
American Society for Microbiology, mSystems, 3(6), 2021
DOI: 10.1128/msystems.00242-21
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Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features
Journal article published in 2021 by
Tze Y. Thung,
Murray E. White,
Wei Dai,
Jonathan J. Wilksch,
Rebecca S. Bamert,
Andrea Rocker,
Christopher J. Stubenrauch 
,
Daniel Williams,
Cheng Huang,
Ralf Schittelhelm,
Jeremy J. Barr ,
Eleanor Jameson ,
Sheena McGowan,
Yanju Zhang,
Jiawei Wang
and other authors.
,
Daniel Williams,
Cheng Huang,
Ralf Schittelhelm,
Jeremy J. Barr ,
Eleanor Jameson ,
Sheena McGowan,
Yanju Zhang,
Jiawei Wang
and other authors.
This paper is made freely available by the publisher.
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Abstract
In response to the global problem of antimicrobial resistance, there are moves to use bacteriophages (phages) as therapeutic agents. Selecting which phages will be effective therapeutics relies on interpreting features contributing to shelf-life and applicability to diagnosed infections.