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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Autores principales: 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
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Lenguaje:EN
Publicado: American Society for Microbiology 2021
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Acceso en línea:https://doaj.org/article/b9e82443c8964d8a84878f05605bb949
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Microbiology
QR1-502
spellingShingle 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
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