Publication View

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm044 Systems biology Simulating Epstein-Barr virus infection with C-ImmSim (2008)

Abstract
Motivation: Epstein-Barr virus (EBV) infects greater than 90 % of humans benignly for life but can be associated with tumors. It is a uniquely human pathogen that is amenable to quantitative analysis; however, there is no applicable animal model. Computer models may provide a virtual environment to perform experiments not possible in human volunteers. Results: We report the application of a relatively simple stochastic cellular automaton (C-ImmSim) to the modeling of EBV infection. Infected B-cell dynamics in the acute and chronic phases of infection correspond well to clinical data including the establishment of a long term persistent infection (up to 10 years) that is absolutely dependent on access of latently infected B cells to the peripheral pool where they are not subject to immunosurveillance. In the absence of this compartment the infection is cleared. Availability: The latest version 6 of C-ImmSim is available under the GNU General Public License and is downloadable from www.iac. cnr.it / filippo/cimmsim.html Contact:

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.100.1766
Source http://bioinformatics.oxfordjournals.org/cgi/reprint/23/11/1371.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English