Boolean network models are one of the simplest models to study complex dynamic behavior
in biological systems. They can be applied to unravel the mechanisms regulating the …

The logical (or logic) formalism is increasingly used to model regulatory and signaling
networks. Complementing these applications, several groups contributed various methods …

The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop
resistance that might be overcome with drug combinations. However, the number of possible …

Prostate cancer is the second most occurring cancer in men worldwide. To better
understand the mechanisms of tumorigenesis and possible treatment responses, we …

Combination therapy is a promising strategy for confronting the complexity of cancer.
However, experimental exploration of the vast space of potential drug combinations is costly …

Background and objective Mechanistic-based Model simulations (MM) are an effective
approach commonly employed, for research and learning purposes, to better investigate …

Drug combination is a sensible strategy for disease treatment because it improves the
treatment efficacy and reduces concomitant side effects. Due to the large number of possible …

Combination therapies are commonly used to treat patients with complex diseases that
respond poorly to single-agent therapies. In vitro high-throughput drug screening is a …

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

Genomic features are used as biomarkers of sensitivity to kinase inhibitors used widely to
treat human cancer, but effective patient stratification based on these principles remains …