With the rising application of systems biology, sensitivity analysis methods have been widely
applied to study the biological systems, including metabolic networks, signalling pathways …

Mathematical models are routinely calibrated to experimental data, with goals ranging from
building predictive models to quantifying parameters that cannot be measured. Whether or …

Motivation: Mathematical description of biological reaction networks by differential equations
leads to large models whose parameters are calibrated in order to optimally explain …

Due to the high complexity of biological data it is difficult to disentangle cellular processes
relying only on intuitive interpretation of measurements. A Systems Biology approach that …

Here we address the problem of parameter estimation (inverse problem) of nonlinear
dynamic biochemical pathways. This problem is stated as a nonlinear programming (NLP) …

Triple-negative breast cancers (TNBC), characterized by absence of estrogen receptor (ER),
progesterone receptor (PR) and lack of overexpression of human epidermal growth factor …

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 …

Cancer research has focused on the identification of molecular differences between
cancerous and healthy cells. The emerging picture is overwhelmingly complex. Molecules …

Motivation: Computer simulations have become an important tool across the biomedical
sciences and beyond. For many important problems several different models or hypotheses …

Developing suitable dynamic models of biochemical pathways is a key issue in Systems
Biology. Predictive models for cells or whole organisms could ultimately lead to model …