The organization, regulation and dynamical responses of biological systems are in many
cases too complex to allow intuitive predictions and require the support of mathematical …

Kinetic models are critical to predict the dynamic behaviour of metabolic networks.
Mechanistic kinetic models for large networks remain uncommon due to the difficulty of fitting …

Biochemical systems theory (BST) is the foundation for a set of analytical andmodeling tools
that facilitate the analysis of dynamic biological systems. This paper depicts major …

Background Mathematical models provide abstract representations of the information
gained from experimental observations on the structure and function of a particular …

Recent progress in our understanding of cancer mostly relies on the systematic profiling of
patient samples with high-throughput techniques like transcriptomics. With this approach …

Originally implicated in the regulation of survival, proliferation and differentiation of
haematopoietic cells, the JAK-STAT pathway has also been linked to developmental …

The tools of nanodiagnostics, nanotherapy, and nanorobotics are expected to revolutionize
the future of medicine, leading to presymptomatic diagnosis of disease, highly effective …

Mathematical modeling has become an integral component in biotechnology, in which these
models are frequently used to design and optimize bioprocesses. Canonical models, like …

MicroRNAs (miRNAs) are involved in many regulatory pathways some of which are complex
networks enriched in regulatory motifs like positive or negative feedback loops or coherent …

In this work we present a general (mono and multiobjective) optimization framework for the
technological improvement of biochemical systems. The starting point of the method is a …