A comparison of system dynamics and agent-based simulation applied to the study of cellular receptor dynamics

Wayne W. Wakeland, Louis M. Macovsky, Edward J. Gallaher, C Athena Aktipis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Cellular receptor dynamics are often analyzed using differential equations, making system dynamics (SD) a candidate methodology. In some cases it may be useful to model the phenomena at the biomolecular level, especially when concentrations and reaction probabilities are low and might lead to unexpected behavior modes. In such cases, agent-based simulation (ABS) may be useful. We show the application of both SD and ABS to simulate non-equilibrium ligand-receptor dynamics over a broad range of concentrations, where the probability of interaction varies from low to very low. Both approaches offer much to the researcher and are complementary. We did not find a clear demarcation indicating when one paradigm or the other would be strongly preferred, although SD is an obvious choice when studying systems at a high level of aggregation and abstraction, and ABS is well suited to studying phenomena at the level of individual receptors and molecules.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
EditorsR.H. Sprague Jr.
Pages1381-1390
Number of pages10
Volume37
StatePublished - 2004
Externally publishedYes
EventProceedings of the Hawaii International Conference on System Sciences - Big Island, HI., United States
Duration: Jan 5 2004Jan 8 2004

Other

OtherProceedings of the Hawaii International Conference on System Sciences
CountryUnited States
CityBig Island, HI.
Period1/5/041/8/04

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

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