Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features
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.
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American Society for Microbiology
2021
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oai:doaj.org-article:b9e82443c8964d8a84878f05605bb9492021-12-02T18:48:30ZComponent Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features2379-507710.1128/mSystems.00242-21https://doaj.org/article/b9e82443c8964d8a84878f05605bb9492021-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00242-21https://doaj.org/toc/2379-5077 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.Tze Y. ThungMurray E. WhiteWei DaiJonathan J. WilkschRebecca S. BamertAndrea RockerChristopher J. StubenrauchDaniel WilliamsCheng HuangRalf SchittelhelmJeremy J. BarrEleanor JamesonSheena McGowanYanju ZhangJiawei WangRhys A. DunstanTrevor LithgowAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 3 (2021) |
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DOAJ |
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DOAJ |
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EN |
topic |
Microbiology QR1-502 |
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Microbiology QR1-502 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 Rhys A. Dunstan Trevor Lithgow Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
description |
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. |
format |
article |
author |
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 Rhys A. Dunstan Trevor Lithgow |
author_facet |
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 Rhys A. Dunstan Trevor Lithgow |
author_sort |
Tze Y. Thung |
title |
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
title_short |
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
title_full |
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
title_fullStr |
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
title_full_unstemmed |
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features |
title_sort |
component parts of bacteriophage virions accurately defined by a machine-learning approach built on evolutionary features |
publisher |
American Society for Microbiology |
publishDate |
2021 |
url |
https://doaj.org/article/b9e82443c8964d8a84878f05605bb949 |
work_keys_str_mv |
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1718377585335861248 |