Stochastic modelling of T-cell activation

DOI10.1007/S00285-014-0759-XzbMath1322.60216arXiv1304.3786OpenAlexW2077757241WikidataQ51115632 ScholiaQ51115632MaRDI QIDQ2512923

Hannah Mayer, Anton Bovier

Publication date: 2 February 2015

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

Full work available at URL: https://arxiv.org/abs/1304.3786

zbMATH Keywords

large deviationsstochastic modelimmune systemcross-reactivityT-cell activation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Central limit and other weak theorems (60F05) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Medical applications (general) (92C50) Large deviations (60F10) Processes in random environments (60K37) Cell biology (92C37) Functional limit theorems; invariance principles (60F17)

Cites Work

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• Quantifying the strength of ligand antagonism in TCR triggering
• Strong large deviation and local limit theorems
• How T-cells use large deviations to recognize foreign antigens
• Rare event simulation for T-cell activation
• Large deviations techniques and applications.
• Foreignness as a matter of degree: the relative immunogenicity of peptide/MHC ligands
• On Deviations of the Sample Mean
• Thymic Presentation of Autoantigens and the Efficiency of Negative Selection
• Large deviations

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