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

Abstract Biological Pathway Exchange (BioPAX) is a standard language to represent
biological pathways at the molecular and cellular level and to facilitate the exchange of …

Since the first edition of Stochastic Modelling for Systems Biology, there have been many
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …

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 …

Dynamics of complex systems is often driven by large and intricate networks of microscopic
interactions, whose sheer size obfuscates understanding. With limited experimental data …

Physicochemical modelling of signal transduction links fundamental chemical and physical
principles, prior knowledge about regulatory pathways, and experimental data of various …

Rule-based modeling involves the representation of molecules as structured objects and
molecular interactions as rules for transforming the attributes of these objects. The approach …

Mathematical equations are fundamental to modeling biological networks, but as networks
get large and revisions frequent, it becomes difficult to manage equations directly or to …

Managing the overwhelming numbers of molecular states and interactions is a fundamental
obstacle to building predictive models of biological systems. Here we introduce the Network …

Cell death plays an essential role in the development of tissues and organisms, the etiology
of disease, and the responses of cells to therapeutic drugs. Here we review progress made …