Motivation The theoretical possibility of determining the state and parameters of a dynamic
model by measuring its outputs is given by its structural identifiability and its observability …

Symmetries are ubiquitous in nature. Almost all organisms have some kind of “symmetry”,
meaning that their shape does not change under some geometric transformation. This …

Constructing dynamic mathematical models of biological systems requires estimating
unknown parameters from available experimental data, usually using a statistical fitting …

Mechanistic dynamical models allow us to study the behavior of complex biological systems.
They can provide an objective and quantitative understanding that would be difficult to …

Motivation Dynamic mechanistic modelling in systems biology has been hampered by the
complexity and variability associated with the underlying interactions, and by uncertain and …

Motivation STRIKE-GOLDD is a toolbox that analyses the structural identifiability and
observability of possibly non-linear, non-rational ODE models that may have known and …

Ordinary differential equation (ODE) models are powerful tools for studying the dynamics of
metabolic pathways. However, key challenges lie in constructing ODE models for metabolic …

If model identifiability is not confirmed, inferences from infectious disease transmission
models may not be reliable, so they might result in misleading recommendations. Structural …

Controller motifs are simple biomolecular reaction networks with negative feedback. They
can explain how regulatory function is achieved and are often used as building blocks in …

Structural identifiability concerns the question of which unknown parameters of a model can
be recovered from (perfect) inputoutput data. If all of the parameters of a model can be …