Alina Renz

This paper develops a genome-scale metabolic model of S. epidermidis that accurately predicts growth and carbon source utilization under in vitro conditions.

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

The paper develops a genome-scale model of Pseudomonas aeruginosa PA14 to study its metabolism, virulence, and drug interactions, revealing metabolic mechanisms and drug potentiation strategies.

The paper updates a genome-scale metabolic network for Pseudomonas aeruginosa PA14 and integrates it with transcriptomic data to reveal metabolic shifts in response to mucin exposure.

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.