Title:	Modelling of biological systems
DNr:	LiU-compute-2023-41
Project Type:	LiU Compute
Principal Investigator:	William Lövfors <william.lovfors@liu.se>
Affiliation:	Linköpings universitet
Duration:	2023-12-07 – 2025-01-01
Classification:	10610
Keywords:

Abstract

Mathematical (mechanistic) modeling have emerged as a promising method for understanding the complex mechanisms involved in biological networks. Using mathematical modelling, it is possible to test hypotheses of the topology and dynamics of the biological network in a formal way. The mathematical models we use are primarily based on ordinary differential equations, where the rate determining constants (parameters) are unknown and must therefore be estimated. Furthermore, finding the optimal set of parameter values are essential for correctly assessing if the hypothesis underlying the model must be rejected. Finding the optimal parameter values is a hard non-convex problem, which can be greatly sped up by using parallelization. We will develop and test models for a variety of biological systems, ranging from dynamics of meal consumption, to intercellular dynamics of inflammatory processes, with the end-goal of creating (and combining) models for the entire human body.