Exploring the metabolic profile of A. baumannii for antimicrobial development using genome-scale modeling.

ABSTRACT: With the emergence of multidrug-resistant bacteria, the World Health Organization published a catalog of microorganisms urgently needing new antibiotics, with the carbapenem-resistant Acinetobacter baumannii designated as "critical". Such isolates, frequently detected in healthcare settings, pose a global pandemic threat. One way to facilitate a systemic view of bacterial metabolism and allow the development of new therapeutics is to apply constraint-based modeling. Here, we developed a versatile workflow to build high-quality and simulation-ready genome-scale metabolic models. We applied our workflow to create a metabolic model for A. baumannii and validated its predictive capabilities using experimental nutrient utilization and gene essentiality data. Our analysis showed that our model i

SUBMITTER: Leonidou N 

PROVIDER: S-EPMC11463759 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature