Evangelia Vayena

The paper develops genome-scale metabolic models for a synthetic soil microbial community to understand metabolic interactions and community function.

This study shows that pyocyanin disrupts airway epithelial regeneration, alters tissue architecture, and promotes chronic Pseudomonas aeruginosa infection.

This paper introduces NIS, a method to simplify genome-scale metabolic models for comparing metabolic capabilities across organisms, revealing conserved and divergent patterns in metabolism.

This study investigates how Pseudomonas aeruginosa adapts to the airway environment by balancing biofilm formation for colonization and antibiotic tolerance, revealing trade-offs that contribute to chronic infections.

The paper introduces ReMIND, a framework to reconstruct microbial community interaction networks based on metabolic capabilities, applied to uranium-reducing communities and honeybee gut microbiomes.

NICEgame identifies and resolves metabolic gaps in genome-scale models by suggesting alternative reactions and genes, improving gene essentiality predictions in E. coli.