Identifying the sources of cell-to-cell variability in signaling dynamics is essential to
understand drug response variability and develop effective therapeutics. However, it is …

The transduction time between signal initiation and final response provides valuable
information on the underlying signaling pathway, including its speed and precision …

Cancer cells have genetic alterations that often directly affect intracellular protein signaling
processes allowing them to bypass control mechanisms for cell death, growth and division …

Translational models directly relating drug response specific processes that can be
observed in vitro to their in vivo role in cancer patients constitute a crucial part of the …

Motivation: Predicting trajectories of signaling networks under complex perturbations is one
of the most valuable, but challenging, tasks in systems biology. Signaling networks are …

Mechanistic models are essential to deepen the understanding of complex diseases at the
molecular level. Nowadays, high-throughput molecular and phenotypic characterizations …

Cancer chemotherapy combines multiple drugs, but predicting the effects of drug
combinations on cancer cell proliferation remains challenging, even for simple in vitro …

Drug treatments often perturb the activities of certain pathways, sets of functionally related
genes. Examining pathways/gene sets that are responsive to drug treatments instead of a …

Motivation Advances in experimental and imaging techniques have allowed for
unprecedented insights into the dynamical processes within individual cells. However, many …

Identifying effective therapeutic treatment strategies is a major challenge to improving
outcomes for patients with breast cancer. To gain a comprehensive understanding of how …