Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 88, Issue 6, 2013, Pages

  Shekhar, Karthik ^a,b   Ruberman, Claire F ^c   Ferguson, Andrew L ^d   Barton, John P ^a,b   Kardar, Mehran ^b   Chakraborty, Arup K ^a,b  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c POMONA COLLEGE   (United States)

^d University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSATIVE AGENTS; FITNESS LANDSCAPE; IMMUNE RESPONSE; NON EQUILIBRIUM; PATIENT SPECIFIC; PROTEOMIC SEQUENCES; RATIONAL DESIGN; VARIATIONAL THEORY;

DISEASES; HEALTH; IMMUNE SYSTEM; MEDICAL COMPUTING; RATIONAL FUNCTIONS; VACCINES; VIRUSES;

COMPUTER SIMULATION;

VIRUS PROTEIN; VIRUS VACCINE;

ARTICLE; BIOLOGICAL MODEL; CHEMISTRY; GENETICS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IMMUNOLOGY; METABOLISM; MUTATION; PHYSIOLOGY; PROTEOMICS;

HIV INFECTIONS; HIV-1; HUMANS; MODELS, BIOLOGICAL; MUTATION; PROTEOMICS; VIRAL PROTEINS; VIRAL VACCINES;

EID: 84890451610     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.88.062705     Document Type: Article

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