title: Dynamics of HIV infection studied with cellular automata and conformon-P systems.
abstract: Recently a cellular automaton (CA) has been used to model the dynamics of HIV infection, with interesting results. We replicate and further test this model, and we introduce an alternative model based on conformon-P (cP) systems. We find (in common with other recently published comments) that the CA model is very sensitive to initial conditions and produces appropriate qualitative dynamics only for a narrow range of rule probabilities. In contrast, the cP system model is robust to a wide range of conditions and parameters, with more reproducible qualitative agreement to the overall dynamics and to the densities of healthy and infected cells observed in vivo.
authors.affiliation: School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom. dwcorne@macs.hw.ac.uk
authors.forename: David W
authors.initials: DW
authors.lastname: Corne
authors.forename: Pierluigi
authors.initials: P
authors.lastname: Frisco
mesh_terms: D000465:Algorithms; D000818:Animals; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D015658:HIV Infections / Q000473:pathology* / Q000503:physiopathology*; D006801:Humans; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D049490:Systems Biology / Q000379:methods*
chemical_list: D020543:Proteome