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Novel antimicrobial development using genome-scale metabolic model of Gram-negative pathogens: a review

Wan, Yean Chung and Yan, Zhu and Mahamad Maifiah, Mohd Hafidz and Hawala Shivashekaregowda, Naveen Kumar and Eng, Hwa Wong and Abdul Rahim, Nusaibah (2021) Novel antimicrobial development using genome-scale metabolic model of Gram-negative pathogens: a review. The Journal of Antibiotics, 74 (2). pp. 95-104. ISSN 0021-8820 E-ISSN 1881-1469

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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 (Journal)
Additional Information: 8219/84284
Uncontrolled Keywords: Biochemical reaction networks, Medical research
Subjects: Q Science > QR Microbiology
R Medicine > RM Therapeutics. Pharmacology > RM300 Drugs and their action
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): International Institute for Halal Research and Training (INHART)
Depositing User: Dr Mohd Hafidz Mahamad Maifiah
Date Deposited: 03 Nov 2020 12:02
Last Modified: 29 Dec 2021 15:29
URI: http://irep.iium.edu.my/id/eprint/84284

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