We present computer simulations of the HIV infection based on a sophisticated cellular automata model of the immune response. The infection progresses following the well known three-phases dynamics observed in patients, that is, acute, silent and acquired immunodeficiency. Antigenic shift and selection of escape viral mutants with low transcription rate explain the long-term course of the asymptomatic phase, while the immunodeficiency status appears to be the consequence of a drastic reduction in T helper cell repertoire

Selection of escape mutants from immune recognition during HIV infection

M Bernaschi;F Castiglione
2002

Abstract

We present computer simulations of the HIV infection based on a sophisticated cellular automata model of the immune response. The infection progresses following the well known three-phases dynamics observed in patients, that is, acute, silent and acquired immunodeficiency. Antigenic shift and selection of escape viral mutants with low transcription rate explain the long-term course of the asymptomatic phase, while the immunodeficiency status appears to be the consequence of a drastic reduction in T helper cell repertoire
2002
Istituto Applicazioni del Calcolo ''Mauro Picone''
simulation
aids
mutation
selection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/157805
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