School of Computing, Dublin City University, Ireland


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Modelling immune response to viral invasion

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. 

Selected Group Publications:

  • 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.

  • 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.


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