Formal agent-based modelling of intracellular chemical interactions.
Individual-based or agent-based models have proved useful in a variety of different biological contexts. This paper presents an agent-based model using a formal computational modelling approach to model a crucial biological system--the intracellular NF-kappaB signalling pathway. The pathway is vital to immune response regulation, and is fundamental to basic survival in a range of species. Alterations in pathway regulation underlie many diseases, including atherosclerosis and arthritis. Our modelling of individual molecules, receptors and genes provides a more comprehensive outline of regulatory network mechanisms than previously possible with equation-based approaches. The model has been validated with data obtained from single cell experimental analysis.
Computational Systems Biology Group, Department of Computer Science, University of Sheffield, UK.
Mark
M
Pogson
Rod
R
Smallwood
Eva
E
Qwarnstrom
Mike
M
Holcombe
D007424:Intracellular Fluid / Q000378:metabolism*; D047908:Intracellular Signaling Peptides and Proteins / Q000378:metabolism; D007700:Kinetics; D008954:Models, Biological; D016328:NF-kappa B / Q000378:metabolism; D015398:Signal Transduction; D049490:Systems Biology
D047908:Intracellular Signaling Peptides and Proteins; D016328:NF-kappa B