Natalia E. Jiménez

This study compares seven automated tools for generating draft genome-scale metabolic models (GEMs) in multicellular eukaryotes, finding no single tool consistently outperforms others.

The paper develops a computational framework to model soil microbiome metabolic potential in the Atacama Desert, identifying key species and functions across different environmental conditions.

The paper presents iCHO3K, a comprehensive metabolic model of Chinese Hamster cells, and uses it to analyze metabolic changes in lactate-free cells, identifying structural insights into metabolic rewiring.

The paper introduces a method to explore abundance-growth space for microbial communities, revealing abundance-dependent metabolic phenotypes through constraint-based modeling.

The paper uses transcriptomic meta-analysis of Diptera-Wolbachia systems to identify gene targets and mechanisms that may affect the sustainability of arboviral control strategies.