Stacey D. Finley

This study develops a mathematical model to predict how FGF and VEGF interact to activate MAPK signaling, finding that FGF dominates ERK phosphorylation.

The paper develops a computational model to explain site-specific phosphorylation kinetics of CARs using phospho-proteomic data and mechanistic modeling.

The paper uses a computational model to identify tumor growth kinetic parameters as prognostic biomarkers for anti-angiogenic treatment outcomes.

This paper outlines an approach for parameterizing and validating systems biology models to create predictive tools that generate testable hypotheses and expand biological understanding.

This study constructs a systems biology model to investigate how tumor receptor heterogeneity affects responses to combination anti-angiogenic therapy in cancer patients.

This study uses computational modeling to show that tumor growth kinetics influence the response to anti-VEGF treatment, with nonlinear dependence on VEGF receptor expression.

The paper develops a mathematical model to predict strategies enhancing TSP1-mediated apoptosis in endothelial cells by simulating signaling perturbations and identifying molecular targets.