Publikation:

Genome-scale metabolic modelling in antimicrobial pharmacology : Present and future

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Datum

2025

Autor:innen

Tao, Jianjun
Lin, Yu-Wei
Zhong, Lingyuxiu
Zhu, Yan
Yao, Xinpeng
Zhao, Jinxin
Li, Jian

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-17v8gvndv2e9w9
DOI (zitierfähiger Link)
https://doi.org/10.1016/j.addr.2025.115672
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Open Access-Veröffentlichung
Open Access Green

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Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

31. Oktober 2026

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Published

Erschienen in

Advanced Drug Delivery Reviews. Elsevier. 2025, 225, 115672. ISSN 0169-409X. eISSN 1872-8294. Verfügbar unter: doi: 10.1016/j.addr.2025.115672

Zusammenfassung

The persistent surge in antimicrobial resistance (AMR) has propelled the search for innovative strategies in antimicrobial use. Genome-scale metabolic modelling (GSMM) has emerged as a transformative tool in this quest, offering a comprehensive understanding of host and microbial metabolism and their interactions with antimicrobial agents. This review emphasises current advancements in the application of GSMM to antimicrobial pharmacology, highlighting its role in deciphering complex microbial and host responses to drug exposure, identifying novel therapeutic targets and optimising therapeutic options. We discuss how GSMM has elucidated mechanisms of drug action, resistance pathways, and off-target effects, providing a systems-level perspective that challenges the traditional “one drug, one target” approach. The integration of GSMM with high-throughput omics technologies and machine learning showcases its potential to refine predictions of drug efficacy, optimise dosing strategies, and minimise toxicity. We also address the challenges and future directions of GSMM, including its expansion to host-pathogen-drug interactions and personalised medicine. Ultimately, GSMM stands as a cornerstone of modern antimicrobial research, with the potential to revolutionise the development of effective treatments against MDR pathogens.

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004 Informatik

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ISO 690TAO, Jianjun, Yu-Wei LIN, Lingyuxiu ZHONG, Yan ZHU, Xinpeng YAO, Michael AICHEM, Falk SCHREIBER, Jinxin ZHAO, Jian LI, 2025. Genome-scale metabolic modelling in antimicrobial pharmacology : Present and future. In: Advanced Drug Delivery Reviews. Elsevier. 2025, 225, 115672. ISSN 0169-409X. eISSN 1872-8294. Verfügbar unter: doi: 10.1016/j.addr.2025.115672
BibTex
@article{Tao2025-10Genom-74305,
  title={Genome-scale metabolic modelling in antimicrobial pharmacology : Present and future},
  year={2025},
  doi={10.1016/j.addr.2025.115672},
  volume={225},
  issn={0169-409X},
  journal={Advanced Drug Delivery Reviews},
  author={Tao, Jianjun and Lin, Yu-Wei and Zhong, Lingyuxiu and Zhu, Yan and Yao, Xinpeng and Aichem, Michael and Schreiber, Falk and Zhao, Jinxin and Li, Jian},
  note={Article Number: 115672}
}
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