Supervised learning and prediction of physical interactions between human and HIV proteins

Infection, Genetics and Evolution

Volumn 11, Issue 5, 2011, Pages 917-923

  Dyer, Matthew D ^a   Murali, T M ^b   Sobral, Bruno W ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b State University   (United States)

Author keywords

Host pathogen interactions; Infectious disease; Protein interaction prediction; Systems biology

Indexed keywords

ANALYTIC METHOD; ARTICLE; HOST CELL; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTED PATIENT; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; KERNEL METHOD; LINEAR SYSTEM; MEMBRANE BINDING; MICROBIAL ACTIVITY; PREDICTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; SUPERVISED LEARNING METHOD; SUPPORT VECTOR MACHINE; VIRUS ATTACHMENT; VIRUS CELL INTERACTION; VIRUS REPLICATION;

BINDING SITES; COMPUTER SIMULATION; HIV; HIV INFECTIONS; HOST-PATHOGEN INTERACTIONS; HUMAN IMMUNODEFICIENCY VIRUS PROTEINS; HUMANS; MODELS, CHEMICAL; PROTEIN BINDING;

EID: 79956299502     PISSN: 15671348     EISSN: 15677257     Source Type: Journal    
DOI: 10.1016/j.meegid.2011.02.022     Document Type: Article

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