Motivation Biological tissues are dynamic and highly organized. Multi-scale models are
helpful tools to analyse and understand the processes determining tissue dynamics. These …

Mechanistic understanding of multi-scale biological processes, such as cell proliferation in a
changing biological tissue, is readily facilitated by computational models. While tools exist to …

In the last decades, mathematical and computational models have become ubiquitous to the
field of systems biology. Specifically, the multiscale nature of biological processes makes the …

Computational models of signal transduction face challenges of scale below the resolution
of a single cell. Here, we organize these challenges around three key interfaces for …

Motivation Dynamic models are used in systems biology to study and understand cellular
processes like gene regulation or signal transduction. Frequently, ordinary differential …

Biological processes involve a variety of spatial and temporal scales. A holistic
understanding of many biological processes therefore requires multi-scale models which …

This volume contains the articles presented at CMSB 2015. The 13th International
Conference on Computational Methods in Systems Biology (CMSB) was held during …

Morpheus is a modeling environment for the simulation and integration of cell-based models
with ordinary differential equations and reaction-diffusion systems. It allows rapid …

In order to achieve a comprehensive understanding of complex biological systems,
researchers must develop new techniques that incorporate key features of the system across …

The use of multi‐scale mathematical and computational models to study complex biological
processes is becoming increasingly productive. Multi‐scale models span a range of spatial …