title: Decoding the multifaceted HIV-1 virus-host interactome.
abstract: Recently in BMC Medical Genomics, Tozeren and colleagues have uncovered virus-host interactions by searching for conserved peptide motifs in HIV and human proteins. Their computational model provides a novel perspective in the interpretation of high-throughput data on the HIV-host interactome.
authors.affiliation: Department of Microbiology, University of Washington, Seattle, WA 98195-8070, USA.
authors.forename: Eric Y
authors.initials: EY
authors.lastname: Chan
authors.forename: Marcus J
authors.initials: MJ
authors.lastname: Korth
authors.forename: Michael G
authors.initials: MG
authors.lastname: Katze
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein; D015658:HIV Infections / Q000235:genetics; D015497:HIV-1 / Q000235:genetics*; D054884:Host-Pathogen Interactions / Q000235:genetics*; D006801:Humans; D025941:Protein Interaction Mapping; D020543:Proteome / Q000235:genetics*; D012367:RNA, Viral / Q000378:metabolism; D020798:Two-Hybrid System Techniques; D019065:Virus Assembly / Q000235:genetics; D014777:Virus Diseases; D016662:Virus Integration; D053586:Virus Internalization; D014779:Virus Replication / Q000235:genetics*; D054301:gag Gene Products, Human Immunodeficiency Virus / Q000235:genetics*; D054322:tat Gene Products, Human Immunodeficiency Virus / Q000378:metabolism
chemical_list: D020543:Proteome; D012367:RNA, Viral; D054301:gag Gene Products, Human Immunodeficiency Virus; D054322:tat Gene Products, Human Immunodeficiency Virus