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 …

Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …

As the amount of biological data in the public domain grows, so does the range of modeling
and analysis techniques employed in systems biology. In recent years, a number of …

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

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

Glioma is the most aggressive brain tumor of the central nervous system. The ability of
glioma cells to migrate, rapidly diffuse and invade normal adjacent tissue, their sustained …

Covering: up to 2014 In silico approaches have been widely recognised to be useful for drug
discovery. Here, we consider the significance of available databases of medicinal plants and …

Mitogen-activated protein kinase (MAPK) is an important signaling pathway in living beings
in response to extracellular stimuli. There are 5 main subgroups manipulating by a set of …

Discovery of efficient anti-cancer drug combinations is a major challenge, since
experimental testing of all possible combinations is clearly impossible. Recent efforts to …

Motivation Molecular interaction maps have emerged as a meaningful way of representing
biological mechanisms in a comprehensive and systematic manner. However, their static …