A virtual look at Epstein–Barr virus infection: Simulation mechanism

Shapiro, Michael; Duca, Karen; Lee, K.; Delgado-Eckert, Edgar; Hawkins, Joseph E.; Jarrah, Abdul Salam; Laubenbacher, Reinhard; Polys, Nicholas F.; Hadinoto, Vey; Thorley‐Lawson, David A.

doi:10.1016/j.jtbi.2008.01.032

Cited by 32 publications

(44 citation statements)

References 61 publications

(83 reference statements)

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“…The resulting biological interpretations and potential biologically relevant insights are elucidated. This represents a co-contribution of this thesis to both the biological and biomedical sciences [104].…”

Section: Contributions Of This Dissertationmentioning

confidence: 86%

“…Based on a widely accepted biological model of Epstein-Barr Virus (EBV) infection (in humans), Dr. David Thorley-Lawson and his collaborators developed an agent-based model and computer simulation (PathSim, Pathogen Simulation) of the interaction between the virus and the host's immune system [36], [104].…”

Section: Motivationmentioning

confidence: 99%

“…The exposition of this material is intentionally brief and we refer the reader to our publications [36] and [104] for further details. For the understanding of Part III of this thesis, some basic knowledge about immunology is required.…”

Section: Issues Related To the Discretization Of Time Seriesmentioning

confidence: 99%

“…(The numbers of agents created and their lifespans are governed by parameters which are set at initialization. These and other controlling parameters are discussed in detail in [104].) A virtual infection is started by creating a population of Vir and distributing these only on the surface of the "Waldeyer's ring".…”

Section: A Brief Description Of the Stochastic Agent-based Model Pathsimmentioning

confidence: 99%

“…T cell memory, antigen presentation and explicit virus neutralization by antibody are not modeled in PathSim, although the relatively short lifespan assigned to Virs implicitly reflects the action of neutralizing antibody. See [104] for more details concerning lifespans.…”

Section: A Brief Description Of the Stochastic Agent-based Model Pathsimmentioning

confidence: 99%

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Section: Contributions Of This Dissertationmentioning

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Section: A Brief Description Of the Stochastic Agent-based Model Pathsimmentioning

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Alternating Host Cell Tropism Shapes the Persistence, Evolution and Coexistence of Epstein–Barr Virus Infections in Human

Huynh

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2010

Bull Math Biol

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Epstein-Barr virus (EBV) infects and can persist in a majority of people worldwide. Within an infected host, EBV targets two major cell types, B cells and epithelial cells, and viruses emerging from one cell type preferentially infect the other. We use mathematical models to understand why EBV infects epithelial cells when B cells serve as a stable refuge for the virus and how switching between infecting each cell type affects virus persistence and shedding. We propose a mathematical model to describe the regulation of EBV infection within a host. This model is used to study the effects of parameter values on optimal viral strategies for transmission, persistence, and intrahost competition. Most often, the optimal strategy to maximize transmission is for viruses to infect epithelial cells, but the optimal strategy for maximizing intrahost competition is for viruses to mainly infect B cells. Applying the results of the within-host model, we derive a model of EBV dynamics in a homogeneous population of hosts that includes superinfection. We use this model to study the conditions necessary for invasion and coexistence of various viral strategies at the population level. When the importance of intrahost competition is weak, we show that coexistence of different strategies is possible.

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A virtual look at Epstein–Barr virus infection: Simulation mechanism

Cited by 32 publications

References 61 publications

Boolean monomial control systems

Boolean monomial control systems

Artificial Life and Therapeutic Vaccines Against Cancers that Originate in Viruses

Alternating Host Cell Tropism Shapes the Persistence, Evolution and Coexistence of Epstein–Barr Virus Infections in Human

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