RT Journal Article
SR Electronic
T1 The Cellular Immunity Agent-Based Model (CIABM): A computational model to examine the role of cellular immunity in viral infection
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 663930
DO 10.1101/663930
A1 R. Chase Cockrell
A1 Jason Botten
A1 Sean A. Diehl
A1 Gary An
YR 2019
UL http://biorxiv.org/content/early/2019/06/08/663930.abstract
AB CD8 T-cells are a critical component of adaptive cellular immunity in response to viral infection, representing the primary cytotoxic T-cell subgroup that is responsible for viral clearance. The dynamics of CD8 T-cell populations as they move from naïve to effector to memory subtypes is highly complex, consisting of multiple branching lineage paths governed by a series of tipping points. Agent-based modeling is a computational modeling method that has been effectively used to represent multi-cellular systems and is particularly well suited to characterizing the complexities of population dynamics. Herein we present an initial implementation of the Cellular Immunity Agent-based Model (CIABM) that represents the basic functions of the initial response to viral infection and the role of CD8 effector T-cell function in the face of a viral infection. Simulations of the CIABM demonstrate plausible population trajectories of viral and CD8 T-cells, as well as capturing biological heterogeneity through its incorporation of stochastic processes in the cellular rule sets.