Modeling cardiac β-adrenergic signaling with normalized-Hill differential equations: comparison with a biochemical model. - Matthew J. Kraeutler; Anthony R. Soltis; Jeffrey J. Saucerman (BMC Syst. Biol., 2010)

Automated image analysis of cardiac myocyte Ca2+ dynamics. - Robert K. Amanfu; James B. Muller; Jeffrey J. Saucerman (EMBC, 2011)

Robustness portraits of diverse biological networks conserved despite order-of-magnitude parameter uncertainty. - Anthony R. Soltis; Jeffrey J. Saucerman (Bioinform., 2011)

Predictive model identifies key network regulators of cardiomyocyte mechano-signaling. - Philip M. Tan; Kyle S. Buchholz; Jeffrey H. Omens; Andrew D. McCulloch; Jeffrey J. Saucerman (PLoS Comput. Biol., 2017)

Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy. - Ali Khalilimeybodi; Alexander M. Paap; Steven L. M. Christiansen; Jeffrey J. Saucerman (PLoS Comput. Biol., 2020)

Modeling cardiomyocyte signaling and metabolism predicts genotype-to-phenotype mechanisms in hypertrophic cardiomyopathy. - Ali Khalilimeybodi; Jeffrey J. Saucerman; Padmini Rangamani (Comput. Biol. Medicine, 2024)

Identifying metabolic adaptations characteristic of cardiotoxicity using paired transcriptomics and metabolomics data integrated with a computational model of heart metabolism. - Bonnie V. Dougherty; Connor J. Moore; Kristopher D. Rawls; Matthew L. Jenior; Bryan Chun; Sarbajeet Nagdas; Jeffrey J. Saucerman; Glynis L. Kolling; Anders Wallqvist; Jason A. Papin (PLoS Comput. Biol., 2024)

Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models. - Johane Bracamonte; Lionel Watkins; Betty Pat; Louis J. Dell'Italia; Jeffrey J. Saucerman; Jeffrey W. Holmes (PLoS Comput. Biol., 2025)

Logic-based modeling of biological networks with Netflux. - Alexander P. Clark; Mukti Chowkwale; Alexander M. Paap; Stephen Dang; Jeffrey J. Saucerman (PLoS Comput. Biol., 2025)