Stochastic Simulations Suggest that HIV-1 Survives Close to Its Error Threshold

PLoS Computational Biology

Volumn 8, Issue 9, 2012, Pages

  Tripathi, Kushal ^a   Balagam, Rajesh ^a   Vishnoi, Nisheeth K ^b   Dixit, Narendra M ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; DIGITAL STORAGE; DISASTERS; ERRORS; POPULATION STATISTICS; STOCHASTIC MODELS;

EFFECTIVE POPULATION SIZE; ERROR CATASTROPHE; ERROR THRESHOLD; INTERVENTION STRATEGY; LARGE POPULATION; MUTATION RATES; POPULATION GENETICS; QUASISPECIES; QUASISPECIES THEORY; STOCHASTIC SIMULATIONS;

STOCHASTIC SYSTEMS;

ANTIMUTAGENIC AGENT;

ANALYTICAL PARAMETERS; ANTIVIRAL SUSCEPTIBILITY; ARTICLE; ERROR THRESHOLD; GENE MUTATION; GENE SEQUENCE; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; HUMAN IMMUNODEFICIENCY VIRUS INFECTED PATIENT; MOLECULAR EVOLUTION; POPULATION GENETICS; POPULATION SIZE; QUANTITATIVE ANALYSIS; STOCHASTIC MODEL; VIRAL PHENOMENA AND FUNCTIONS; VIRUS CELL INTERACTION; VIRUS GENOME; VIRUS MORPHOLOGY; VIRUS MUTATION; VIRUS RECOMBINATION; VIRUS SURVIVAL;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 84866893141     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002684     Document Type: Article

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