Jordan C. Rozum

The paper investigates how cell state transitions in Prochlorococcus marinus MED4 affect transcriptome-proteome alignment through regulatory mechanisms involving RpaB and HimA.

This study investigates how cyanophage CP12 modulates host carbon regulation by remodeling interfaces and buffering redox changes during infection.

The paper develops a 4D whole-cell model of Prochlorococcus marinus MED4 to show how spatial organization and redox PTMs regulate carbon fixation under light disturbance.

ProteoMeter integrates multi-PTM and limited proteolysis data to map proteomic changes to residue level, demonstrating its use in analyzing HCoV-229E infection.

This paper identifies conserved transcriptional modules in Prochlorococcus MED4 using RNA-seq data and independent component analysis, revealing core regulatory programs that persist despite extreme genome reduction.

The paper integrates AMGs and phage assembly into a genome-scale metabolic model to predict their impact on host metabolism and phage production, revealing synergistic and antagonistic effects.

This paper introduces a genetic algorithm-based workflow for refining biological network models using perturbation-observation pairs, demonstrating its effectiveness in a plant signaling model.

This paper introduces biobalm, a tool for constructing succession diagrams of Boolean networks, showing improved performance and demonstrating that non-random models have complex attractor landscapes.

The paper analyzes experimentally-supported biomolecular networks to show they are ordered and far from the edge of chaos, with new measures and simulations revealing greater rigidity than previously thought.

This paper develops an ODE-based GRN inference method using dynamic transcriptional data and validates it on synthetic yeast and Candida albicans GRNs.

The paper analyzes a mammalian cell cycle model to show how conditionally stable motifs drive oscillations through cell cycle checkpoints.

The paper introduces a method to identify control-robust subsystems in dynamical systems, demonstrating its application to biological networks like Drosophila and T-cell signaling.