Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models …

Background and objective Mechanistic-based Model simulations (MM) are an effective
approach commonly employed, for research and learning purposes, to better investigate …

Growth is a fundamental process of life. Growth requirements are well‐characterized
experimentally for many microbes; however, we lack a unified model for cellular growth …

Constraint-based models of metabolism are a widely used framework for predicting flux
distributions in genome-scale biochemical networks. The number of published methods for …

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 …

The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …

Background The dynamics of the cellular glycolysis pathway underpin cellular function and
dysfunction, and therefore ultimately health, disease, diagnostic and therapeutic strategies …

The aging process is driven at the cellular level by random molecular damage that slowly
accumulates with age. Although cells possess mechanisms to repair or remove damage …

Perhaps no other topic in risk analysis is more difficult, more controversial, or more important
to risk management policy analysts and decision-makers than how to draw valid, correctly …

Intervertebral disc (IVD) degeneration is a major risk factor of low back pain. It is defined by a
progressive loss of the IVD structure and functionality, leading to severe impairments with …