Kemp Laboratory

Redox Systems Biology Lab at Georgia Tech

Resources

Code associated with the 2025 Scientific Reports publication “Topological Data Analysis of Pattern Formation of Human Induced Pluripotent Stem Cell Colonies” by Hartstock, Park et al.

Code associated with the 2023 Cell Systems publication “Synthetic symmetry breaking and programmable multicellular structure formation” by Wouford et al.

Code associated with the 2023 Antioxidants publication “Single-Cell Kinetic Modeling of β-Lapachone Metabolism in Head and Neck Squamous Cell Carcinoma” by Raddatz et al.

Resources associated with the 2021 Cell Systems publication “Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors” by Lewis et al.

Code associated with the 2018 Nature Communications publication “Dynamic intercellular transport modulates the spatial patterning of differentiation during early neural commitment” by Glen et al.

Model and data files associated with the 2018 PLoS One publication “Oscillatory IL-2 stimulus reveals pertinent signaling timescales of T cell responsiveness” by Kippner & Kemp.

Model files associated with the 2016 PLoS One publication “Calcium dynamics of ex vivo long-term cultured CD8+ T cells are regulated by changes in redox metabolism” by Rivet*, Kniss-James* et al.

Model files associated with the 2016 PLoS Computational Biology publication “Kinetic Modeling of ABCG2 Transporter Heterogeneity: A Quantitative, Single-Cell Analysis of the Side Population Assay”  by Prasanphanich et al.

Model and data files associated with the 2015 PLoS Computational Biology publication ” Dynamic Redox Regulation of IL-4 Signaling ” by Dwivedi et al.

BioModel database entry for the 2006 Biophysical Journal publication “Dynamics of muscle glycogenolysis modeled with pH time course computation and pH-dependent reaction equilibria and enzyme kinetics.” by Vinnakota*, Kemp*, & Kushmerick. SBML files not verified for accuracy.

BioModel database entry for the 2002 Annals of Biomedical Engineering publication “A Computational Model for Glyogenolysis in Skeletal Muscle” by Lambeth & Kushmerick. SBML file not verified for accuracy.