The MAPK (mitogen-activated protein kinase) pathway is one of the most important and
intensively studied signalling pathways. It is at the heart of a molecular-signalling network …

Metabolic flux analysis (MFA) is a rapidly developing field concerned with the quantification
and understanding of metabolism at the systems level. The application of MFA has produced …

Fluxes through metabolic networks are crucial for cell function, and a knowledge of these
fluxes is essential for understanding and manipulating metabolic phenotypes. Labeling …

This article is a critical review of computational techniques used to model, analyse and
simulate signalling networks. We propose a conceptual framework, and discuss the role of …

Recent technological and theoretical advances are only now allowing the simulation of
detailed kinetic models of biological systems that reflect the stochastic movement and …

The possibility to replicate and reproduce published research results is one of the biggest
challenges in all areas of science. In computational neuroscience, there are thousands of …

The scientific community across all disciplines faces the same challenges of ensuring
accessibility, reproducibility, and efficient comparability of scientific results. Computational …

Background Microarray technologies have become common tools in biological research. As
a result, a need for effective computational methods for data analysis has emerged …

More than a hundred biochemical species, activated by neurotransmitters binding to
transmembrane receptors, are important in long-term potentiation (LTP) and long-term …

Mathematical modeling and simulation of dynamic biochemical systems are receiving
considerable attention due to the increasing availability of experimental knowledge of …