Publikation:

Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa

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2018

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Zhu, Yan
Czauderna, Tobias
Zhao, Jinxin
Klapperstueck, Matthias
Maifiah, Mohd Hafidz Mahamad
Han, Mei-Ling
Lu, Jing
Li, Jian
et al.

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GigaScience. 2018, 7(4), giy018. eISSN 2047-217X. Available under: doi: 10.1093/gigascience/giy021

Zusammenfassung

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.

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ISO 690ZHU, Yan, Tobias CZAUDERNA, Jinxin ZHAO, Matthias KLAPPERSTUECK, Mohd Hafidz Mahamad MAIFIAH, Mei-Ling HAN, Jing LU, Björn SOMMER, Falk SCHREIBER, Jian LI, 2018. Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa. In: GigaScience. 2018, 7(4), giy018. eISSN 2047-217X. Available under: doi: 10.1093/gigascience/giy021
BibTex
@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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