The aim of this project on modelling immune response to viral invasion,
specifically Human Acquired Immuno-Deficiency Syndrome (associated with
HIV infection), is to explore the population dynamics for different cell
types, based on what is understood or conjectured about cellular mechanisms.
The initial focus will be to describe macroscopic latency on a microscopic
basis, quantifying the stages of helper T-cell decline, in order to identify
crucial crossover points and thresholds for viral population explosion.
Second, this project will seek to improve biological reality by incorporating
features from models which attempt detailed descriptions of all cell types
involved in the viral invasion/ immune response reaction (e.g. the Seiden
and Celada model for HIV; ARIC library). Intra- and inter-cellular interactions
will be investigated in detail, to explore cell survival characteristics
and to quantify the influence of additional cell types on disease progression.
The viability of adapting some of these ideas to modelling features of
other immuno-suppressive disorders will be explored.
Perrin, D., Ruskin H. J., and Crane, M. Model refinement through high-performance computing: an agent-based HIV example. Immunome Research 6(Suppl 1): S3, 2010.
Selected Group Publications:
Burns, J., Ruskin, H.J., Perrin, D. and Walsh, J. Visualization of Complex Biological Systems: An Immune Response Model Using OpenGL, Book – Complex Sciences, Book Series - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISBN - 978-3-642-02465-8 (Print) 978-3-642-02466-5 (Online), Volume 4, Part1, p. 671-679, 2009.