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Mathematical Model of HIV Superinfection and Comparative Drug Therapy

  • Conference paper
Artificial Immune Systems (ICARIS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5666))

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Abstract

We have modeled the within-patient evolutionary process during HIV infection. During the HIV infection several quasispecies of the virus arise. These quasispecies are able to use different coreceptors, in particular the CCR5 and CXCR4 (R5 and X4 phenotypes, respectively). The switch in coreceptor usage has been correlated with a faster progression of the disease to the AIDS phase. As several pharmaceutical companies are getting ready to start large phase III trials for their R5 blocking drugs, models are needed to predict the co-evolutionary and competitive dynamics of virus strains. Moreover, we have considered CTLs response and effect of TNF. We present a model of HIV early infection and CTLs response which describes the dynamics of R5 quasispecie and a model of HIV late infection, specifying the R5 to X4 switch and effect of immune response. We report the following findings: quasispecies dynamics after superinfection or coinfection have time scales of several months and become even slower in presence of the CTLs response. In addition, we illustrate dynamics of HIV quasispecies on HAART, Maraviroc and Zinc-finger nucleases(ZFN) therapies. Our model represents a general framework to study the mutation and distribution of HIV quasispecies during disease progression, and can be used to design vaccines and drug therapies.

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Author information

Authors and Affiliations

  1. Computer Laboratory, University of Cambridge, Cambridge, CB3 0DG, UK

    Anil Sorathiya & Pietro Liò

  2. Dipartimento di Energetica, Università di Firenze, Via S. Marta 3, 50139, Firenze, Italy

    Luca Sguanci

Authors
  1. Anil Sorathiya
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  2. Pietro Liò
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  3. Luca Sguanci
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of York, YO10 5DD, Heslington, York, UK

    Paul S. Andrews

  2. Departments of Computer Science and Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

  3. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Nick D. L. Owens  & Andy M. Tyrrell  & 

  4. School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, UK

    Uwe Aickelin

  5. School of Computing, Napier University, 10 Colinton Road, EH10 5DT, Edinburgh, UK

    Emma Hart

  6. Institute of Mathematics, Statistics and Actuarial Science, University of Kent, CT2 7NF, Canterbury, UK

    Andrew Hone

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© 2009 Springer-Verlag Berlin Heidelberg

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Sorathiya, A., Liò, P., Sguanci, L. (2009). Mathematical Model of HIV Superinfection and Comparative Drug Therapy. In: Andrews, P.S., et al. Artificial Immune Systems. ICARIS 2009. Lecture Notes in Computer Science, vol 5666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03246-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-03246-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03245-5

  • Online ISBN: 978-3-642-03246-2

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