Acquisition of omics data advances at a formidable pace. Yet, our ability to utilize these data
to control cell phenotypes and design interventions that reverse pathological states lags …

Molecular mechanisms of health and disease are often represented as systems biology
diagrams, and the coverage of such representation constantly increases. These static …

Genomics studies routinely confront researchers with long lists of tumor alterations detected
in patients. Such lists are difficult to interpret since only a minority of the alterations are …

Motivation Mathematical models of biological processes altered in cancer are built using the
knowledge of complex networks of signaling pathways, detailing the molecular regulations …

Sepsis is a life-threatening condition driven by the dysregulation of the host immune
response to an infection. The complex and interacting mechanisms underlying sepsis …

In this issue, the “Special Section on Quantitative Systems Pharmacology” highlights the
evolution of the field that has merged a number of disciplines into its own. The roots of …

Inference of gene regulatory networks has been an active area of research for around 20
years, leading to the development of sophisticated inference algorithms based on a variety …

Boolean modelling of gene regulation but also of post-transcriptomic systems has proven
over the years that it can bring powerful analyses and corresponding insight to the many …

Currently, the identification of patient-specific therapies in cancer is mainly informed by
personalized genomic analysis. In the setting of acute myeloid leukemia (AML), patient-drug …

A Boolean network (BN) is a discrete dynamical system defined by a Boolean function that
maps to the domain itself. A trap space of a BN is a generalization of a fixed point, which is …