Unknown

Dataset Information

Systematic analysis of microorganisms' metabolism for selective targeting.


ABSTRACT: Selective drugs with a relatively narrow spectrum can reduce the side effects of treatments compared to broad-spectrum antibiotics by specifically targeting the pathogens responsible for infection. Furthermore, combating an infectious pathogen, especially a drug-resistant microorganism, is more efficient by attacking multiple targets. Here, we combined synthetic lethality with selective drug targeting to identify multi-target and organism-specific potential drug candidates by systematically analyzing the genome-scale metabolic models of six different microorganisms. By considering microorganisms as targeted or conserved in groups ranging from one to six members, we designed 665 individual case studies. For each case, we identified single essential reactions as well as double, triple, and q

SUBMITTER: Dehghan Manshadi M 

PROVIDER: S-EPMC11252421 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature