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Bioinformatics Advance Access originally published online on March 6, 2007
Bioinformatics 2007 23(11):1371-1377; doi:10.1093/bioinformatics/btm044
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Simulating Epstein-Barr virus infection with C-ImmSim

Filippo Castiglione 1, Karen Duca 2,{dagger}, Abdul Jarrah 2, Reinhard Laubenbacher 2, Donna Hochberg 3 and David Thorley-Lawson 3,*

1Istituto Applicazioni del Calcolo (IAC) "M. Picone"-CNR, Viale del Policlinico, 137, 00161 – Rome, Italy, 2Virginia Bioinformatics Institute, Washington St., MC 0477, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 and 3Department of Pathology Jaharis Building, Tufts University School of Medicine, 150 Harrison Ave., Boston, MA 02111, USA

*To whom correspondence should be addressed.


  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: david.thorley-lawson{at}tufts.edu

{dagger}Present address: Department of Biochemistry and Biotechnology, KNUST, Kumasi, Ghana.

Associate Editor: Jonathan Wren

Received on October 27, 2006; revised on January 15, 2007; accepted on February 3, 2007

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