Physiological factors leading to a successful vaccination: a computational approach

DOI10.1016/J.JTBI.2018.06.008zbMath1406.92358OpenAlexW2809207662WikidataQ56976804 ScholiaQ56976804MaRDI QIDQ1714192

Jennifer A. Flegg, Dominic L. Maderazo, Michael J. de Veer, Melanie R. Neeland, Mark B. Flegg

Publication date: 31 January 2019

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.06.008

zbMATH Keywords

computational simulationimmune systemlymph nodemultiscale mathematical modelling

Mathematics Subject Classification ID

PDEs in connection with biology, chemistry and other natural sciences (35Q92) Physiology (general) (92C30) Medical epidemiology (92C60) Cell movement (chemotaxis, etc.) (92C17)

Uses Software

• DEDiscover

Cites Work

• Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection
• A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning

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