Chung, Wan Yean and Zhu, Yan and Maifiah, Mohd Hafidz Mahamad and Shivashekaregowda, Naveen Kumar Hawala and Wong, Eng Hwa and Abdul Rahim, Nusaibah (2021) Novel antimicrobial development using genome-scale metabolic model of Gram-negative pathogens: A review. Journal of Antibiotics, 74 (2). pp. 95-104. ISSN 0021-8820, DOI https://doi.org/10.1038/s41429-020-00366-2.
Full text not available from this repository.Abstract
Antimicrobial resistance (AMR) threatens the effective prevention and treatment of a wide range of infections. Governments around the world are beginning to devote effort for innovative treatment development to treat these resistant bacteria. Systems biology methods have been applied extensively to provide valuable insights into metabolic processes at system level. Genome-scale metabolic models serve as platforms for constraint-based computational techniques which aid in novel drug discovery. Tools for automated reconstruction of metabolic models have been developed to support system level metabolic analysis. We discuss features of such software platforms for potential users to best fit their purpose of research. In this work, we focus to review the development of genome-scale metabolic models of Gram-negative pathogens and also metabolic network approach for identification of antimicrobial drugs targets.
| Item Type: | Article |
|---|---|
| Funders: | Fundamental Research Grant Scheme, Ministry of Higher Education, Malaysia (FRGS/1/2019/SKK11/TAYLOR/03/1) |
| Uncontrolled Keywords: | Novel antimicrobial; Genome-scale metabolic model; Gram-negative pathogens |
| Subjects: | Q Science > QR Microbiology R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Faculty of Pharmacy |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 10 Aug 2022 08:24 |
| Last Modified: | 10 Aug 2022 08:24 |
| URI: | http://eprints.um.edu.my/id/eprint/28461 |
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