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Agent-based modeling of the context dependency in T cell recognition

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Publication:776621
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DOI10.1016/j.jtbi.2005.03.019zbMath1442.92028OpenAlexW2165620349WikidataQ81756333 ScholiaQ81756333MaRDI QIDQ776621

Mark S. Alber, Arancha Casal, Timothy E. Reddy, Peter P. Lee, Cenk Sumen

Publication date: 9 July 2020

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2005.03.019


zbMATH Keywords

systems biologyagent-based simulationimmune synapsereceptor clusteringT cell recognition


Mathematics Subject Classification ID

Pathology, pathophysiology (92C32)


Related Items (4)

Modelling the immune response to cancer: an individual-based approach accounting for the difference in movement between inactive and activated T cells ⋮ Rival approaches to mathematical modelling in immunology ⋮ Modeling regulation mechanisms in the immune system ⋮ The role of the T-helper/T-suppressor ratio in the adaptive immune response: a dynamical model



Cites Work

  • Unnamed Item
  • Quantifying the strength of ligand antagonism in TCR triggering
  • A Cellular Automata Model of Early T Cell Recognition


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