Novel antimicrobial development using genome-scale metabolic model of Gram-negative pathogens: A review
Document Type
Article
Publication Date
2-1-2021
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.
Keywords
Novel antimicrobial, Genome-scale metabolic model, Gram-negative pathogens
Divisions
pharmacy
Funders
Fundamental Research Grant Scheme, Ministry of Higher Education, Malaysia (FRGS/1/2019/SKK11/TAYLOR/03/1)
Publication Title
Journal of Antibiotics
Volume
74
Issue
2
Publisher
Spring Nature
Publisher Location
CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND