@article{Zhu2018Genom-42970,
  year={2018},
  doi={10.1093/gigascience/giy021},
  title={Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa},
  number={4},
  volume={7},
  journal={GigaScience},
  author={Zhu, Yan and Czauderna, Tobias and Zhao, Jinxin and Klapperstueck, Matthias and Maifiah, Mohd Hafidz Mahamad and Han, Mei-Ling and Lu, Jing and Sommer, Björn and Schreiber, Falk and Li, Jian},
  note={Article Number: giy018}
}

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    <dc:contributor>Maifiah, Mohd Hafidz Mahamad</dc:contributor>
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    <dc:creator>Zhu, Yan</dc:creator>
    <dc:contributor>Zhao, Jinxin</dc:contributor>
    <dcterms:title>Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa</dcterms:title>
    <dcterms:abstract xml:lang="eng">Pseudomonas aeruginosa often causes multidrug-resistant infections in immunocompromised patients, and polymyxins are often used as the last-line therapy. Alarmingly, resistance to polymyxins has been increasingly reported worldwide recently. To rescue this last-resort class of antibiotics, it is necessary to systematically understand how P. aeruginosa alters its metabolism in response to polymyxin treatment, thereby facilitating the development of effective therapies. To this end, a genome-scale metabolic model (GSMM) was used to analyze bacterial metabolic changes at the systems level.</dcterms:abstract>
    <dc:contributor>Han, Mei-Ling</dc:contributor>
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    <dc:contributor>Zhu, Yan</dc:contributor>
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    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:contributor>Schreiber, Falk</dc:contributor>
    <dc:creator>Li, Jian</dc:creator>
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    <dc:contributor>Li, Jian</dc:contributor>
    <dc:creator>Sommer, Björn</dc:creator>
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    <dc:creator>Han, Mei-Ling</dc:creator>
    <dc:creator>Czauderna, Tobias</dc:creator>
    <dc:creator>Lu, Jing</dc:creator>
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    <dc:creator>Schreiber, Falk</dc:creator>
    <dc:contributor>Czauderna, Tobias</dc:contributor>
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