A virtual look at Epstein-Barr virus infection: Biological interpretations

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dc.contributor.authorDuca, Karen A.en
dc.contributor.authorShapiro, Michaelen
dc.contributor.authorDelgado-Eckert, Edgaren
dc.contributor.authorHadinoto, Veyen
dc.contributor.authorJarrah, Abdul Salamen
dc.contributor.authorLaubenbacher, Reinhard C.en
dc.contributor.authorLee, Kicholen
dc.contributor.authorLuzuriaga, Katherineen
dc.contributor.authorPolys, Nicholas F.en
dc.contributor.authorThorley-Lawson, David A.en
dc.date.accessioned2018-12-04T18:42:15Zen
dc.date.available2018-12-04T18:42:15Zen
dc.date.issued2007-10-19en
dc.description.abstractThe possibility of using computer simulation and mathematical modeling to gain insight into biological and other complex systems is receiving increased attention. However, it is as yet unclear to what extent these techniques will provide useful biological insights or even what the best approach is. Epstein -Barr virus (EBV) provides a good candidate to address these issues. It persistently infects most humans and is associated with several important diseases. In addition, a detailed biological model has been developed that provides an intricate understanding of EBV infection in the naturally infected human host and accounts for most of the virus' diverse and peculiar properties. We have developed an agent-based computer model/ simulation (PathSim, Pathogen Simulation) of this biological model. The simulation is performed on a virtual grid that represents the anatomy of the tonsils of the nasopharyngeal cavity (Waldeyer ring) and the peripheral circulation -the sites of EBV infection and persistence. The simulation is presented via a user friendly visual interface and reproduces quantitative and qualitative aspects of acute and persistent EBV infection. The simulation also had predictive power in validation experiments involving certain aspects of viral infection dynamics. Moreover, it allows us to identify switch points in the infection process that direct the disease course towards the end points of persistence, clearance, or death. Lastly, we were able to identify parameter sets that reproduced aspects of EBV-associated diseases. These investigations indicate that such simulations, combined with laboratory and clinical studies and animal models, will provide a powerful approach to investigating and controlling EBV infection, including the design of targeted anti-viral therapies.en
dc.format.extent13 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.ppat.0030137en
dc.identifier.eissn1553-7374en
dc.identifier.issn1553-7366en
dc.identifier.issue10en
dc.identifier.othere137en
dc.identifier.pmid17953479en
dc.identifier.urihttp://hdl.handle.net/10919/86224en
dc.identifier.volume3en
dc.language.isoen_USen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectmurine gammaherpesvirus-68 infectionen
dc.subjectcells in-vivoen
dc.subjectb-cellsen
dc.subjectviral dynamicsen
dc.subjectt-cellsen
dc.subjecthosten
dc.subjectmononucleosisen
dc.subjectreplicationen
dc.subjectpersistenceen
dc.subjectmechanismsen
dc.titleA virtual look at Epstein-Barr virus infection: Biological interpretationsen
dc.title.serialPLOS Pathogensen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Destination Area: Global Systems Science (GSS)