TY - JOUR
T1 - Novel antimicrobial development using genome-scale metabolic model of Gram-negative pathogens
T2 - a review
AU - Chung, Wan Yean
AU - Zhu, Yan
AU - Mahamad Maifiah, Mohd Hafidz
AU - Shivashekaregowda, Naveen Kumar Hawala
AU - Wong, Eng Hwa
AU - Abdul Rahim, Nusaibah
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - biochemical reaction networks
KW - medical research
UR - http://www.scopus.com/inward/record.url?scp=85090449129&partnerID=8YFLogxK
U2 - 10.1038/s41429-020-00366-2
DO - 10.1038/s41429-020-00366-2
M3 - Review Article
C2 - 32901119
AN - SCOPUS:85090449129
SN - 0021-8820
VL - 74
SP - 95
EP - 104
JO - Journal of Antibiotics
JF - Journal of Antibiotics
IS - 2
ER -