A Stochastic Cellular Automata Approach to Cellular Dynamics for HIV: Effect of Viral Mutation
Document Type
Article
Publication Date
4-1-1998
Department
Physics and Astronomy
School
Mathematics and Natural Sciences
Abstract
A stochastic cellular automata (SCA) approach is introduced to study the effect of viral mutation on the cellular populations (N-M, N-H, N-C, N-V) of macrophages (M), helper cells (H), cytotoxic cells (C), and virus (V) in an HN immune response. In absence of mutation, the immune system wins over the viral infection i.e., N-H, N-C > N-V and even at low mutation, the magnitude of N-H and N-C becomes comparable to N-V with a relatively large amplitude of oscillations at low mobility. The amplitude of oscillations in variation of N-H, N-C and N-V with time decreases with a nonmonotonic viral growth at high mobility where N-V becomes larger than N-H and N-C in long time even at low mutation. On increasing mutation, the viral population becomes much larger than that of the host cells particularly at high cellular mobility leading to AIDS.
Publication Title
Theory in Biosciences
Volume
117
Issue
1
First Page
32
Last Page
41
Recommended Citation
Pandey, R. B.
(1998). A Stochastic Cellular Automata Approach to Cellular Dynamics for HIV: Effect of Viral Mutation. Theory in Biosciences, 117(1), 32-41.
Available at: https://aquila.usm.edu/fac_pubs/4978