Hector A. Hernandez Gonzalez

This paper combines genome-scale modeling, machine learning, and thermodynamics analysis to identify cost-effective strategies for PHB production in Rhodopseudomonas palustris.

This study identifies coenzyme A depletion as a cause of antibiotic tolerance in Pseudomonas aeruginosa using proteomic, metabolomic, and machine learning analyses.

This study shows that the RES domain TA system in P. aeruginosa promotes persister formation by depleting NAD and NADP under nutrient stress, enhancing bacterial survival during antibiotic treatment.