Intrinsically disordered proteins (IDPs) are important components of the cellular signalling
machinery, allowing the same polypeptide to undertake different interactions with different …

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

Abstract Systems Bioinformatics is a relatively new approach, which lies in the intersection of
systems biology and classical bioinformatics. It focuses on integrating information across …

Metastasis is the cause of over 90% of cancer-related deaths. Cancer cells undergoing
metastasis can switch dynamically between different phenotypes, enabling them to adapt to …

We present new applications of parity inversion and time reversal to the emergence of
complex behavior from simple dynamical rules in stochastic discrete models. Our parity …

Despite the fact that many important problems (including clustering) can be described using
hypergraphs, theoretical foundations as well as practical algorithms using hypergraphs are …

Reductionist science produces causal models of small fragments of complicated systems.
Causal models of entire systems can be hard to construct because what is known of them is …

Computational modeling constitutes a crucial step toward the functional understanding of
complex cellular networks. In particular, logical modeling has proven suitable for the …

Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …

The identification of large regulatory and signalling networks involved in the control of
crucial cellular processes calls for proper modelling approaches. Indeed, models can help …