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Selection of escape mutants from immune recognition during HIV infection
Author(s) -
Bernaschi M,
Castiglione F
Publication year - 2002
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1046/j.1440-1711.2002.01082.x
Subject(s) - immune system , biology , repertoire , immunology , immune escape , asymptomatic , virology , human immunodeficiency virus (hiv) , mutant , selection (genetic algorithm) , immunodeficiency , gene , genetics , medicine , computer science , artificial intelligence , physics , pathology , acoustics
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‐phase 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.