Computational models of HIV-1 resistance to gene therapy elucidate therapy design principles

PLoS Computational Biology

Volumn 6, Issue 8, 2010, Pages

  Aviran, Sharon ^a   Shah, Priya S ^b   Schaffer, David V ^a,b,c   Arkin, Adam P ^a,d  

^a University of California   (United States)

^b University of California   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; CELL CULTURE; CELL PROLIFERATION; COMPUTATION THEORY; COMPUTATIONAL METHODS; DYNAMICS; GENE TRANSFER; LIFE CYCLE; VIRUSES;

'CURRENT; ANTI-HIV; COMPUTATIONAL MODELLING; CRITICAL CHALLENGES; DESIGN PRINCIPLES; EVOLUTIONARY DYNAMICS; GENETICALLY MODIFIED; IN-VIVO; PROPERTY; THERAPY DESIGN;

GENE THERAPY;

ANTIRETROVIRUS AGENT; COMPLEMENTARY RNA;

ARTICLE; CELL POPULATION; CELL PROLIFERATION; CLINICAL TRIAL; DNA MODIFICATION; EX VIVO GENE TRANSFER; GENE TARGETING; GENE TECHNOLOGY; GENE THERAPY; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; LIFE CYCLE; LONG TERM CARE; MATHEMATICAL MODEL; NONHUMAN; SHORT COURSE THERAPY; VIRAL GENE THERAPY; VIRUS INHIBITION; VIRUS MUTATION; VIRUS REPLICATION; VIRUS RESISTANCE;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 78049429450     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000883     Document Type: Article

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