Simulation of mitochondrial metabolism using multi-agents system
Charles Lales (LaBRI), N. Parisey, Jean-Pierre Mazat, Marie, Beurton-Aimar (LaBRI)

TL;DR
This paper explores using multi-agent systems to model mitochondrial metabolism, offering an alternative to complex differential equation models by capturing spatial and structural details of mitochondrial pathways.
Contribution
It introduces a multi-agent modeling approach tailored to mitochondrial metabolism, addressing limitations of traditional differential equation models in representing spatial and structural complexities.
Findings
Multi-agent systems can effectively model mitochondrial pathways.
The approach captures enzyme localization and membrane architecture.
Potential for simplifying complex metabolic models.
Abstract
Metabolic pathways describe chains of enzymatic reactions. Their modelling is a key point to understand living systems. An enzymatic reaction is an interaction between one or several metabolites (substrates) and an enzyme (simple protein or enzymatic complex build of several subunits). In our Mitochondria in Silico Project, MitoScop, we study the metabolism of the mitochondria, an intra-cellular organelle. Many ordinary differential equation models are available in the literature. They well fit experimental results on flux values inside the metabolic pathways, but many parameters are dicult to transcribe with such models: localization of enzymes, rules about the reactions scheduler, etc Moreover, a model of a significant part of mitochondrial metabolism could become very complex and contain more than 50 equations. In this context, the multi-agents systems appear as an alternative…
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Taxonomy
TopicsMitochondrial Function and Pathology · ATP Synthase and ATPases Research · Coenzyme Q10 studies and effects
