Patrick E. Gelbach

This study compares flux balance analysis and flux sampling in microbial community metabolism, finding significant differences in predicted interactions and flux patterns.

The paper uses ensemble-based genome-scale modeling to predict metabolic differences between M1 and M2 macrophage subtypes in colorectal cancer and identifies metabolic perturbations that shift M2 metabolism toward M1.

This paper develops a kinetic and data-driven model of pancreatic β-cell metabolism to understand its role in glucose-stimulated insulin secretion and predict therapeutic interventions.

This study investigates tumor-stromal metabolic interactions in colorectal cancer by integrating constraint-based models with metabolomics data, revealing how cancer-associated fibroblasts reprogram tumor cell metabolism.