Studying cell metabolism serves a plethora of objectives such as the enhancement of
bioprocess performance, and advancement in the understanding of cell biology, of drug …

Mathematical modeling is a key process to describe the behavior of biological networks.
One of the most difficult challenges is to build models that allow quantitative predictions of …

Motivation Kinetic models contain unknown parameters that are estimated by optimizing the
fit to experimental data. This task can be computationally challenging due to the presence of …

Ordinary differential equation models are nowadays widely used for the mechanistic
description of biological processes and their temporal evolution. These models typically …

Highlights•Kinetic models integrate heterogeneous data to give metabolic engineering
insights.•Need accurate catalytic and allostery kinetic parameters for quality kinetic …

Metabolic engineering involves the engineering and optimization of processes from single-
cell to fermentation in order to increase production of valuable chemicals for health, food …

Dynamical systems describing whole cells are on the verge of becoming a reality. But as
models of reality, they are only useful if we have realistic parameters for the molecular …

Angiogenesis is a highly regulated multiscale process that involves a plethora of cells, their
cellular signal transduction, activation, proliferation, differentiation, as well as their …

The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …

Understanding the governing principles behind organisms' metabolism and growth
underpins their effective deployment as bioproduction chassis. A central objective of …