Literature DB >> 19025396

Cataloguing the HIV type 1 human protein interaction network.

Roger G Ptak1, William Fu, Brigitte E Sanders-Beer, Jonathan E Dickerson, John W Pinney, David L Robertson, Mikhail N Rozanov, Kenneth S Katz, Donna R Maglott, Kim D Pruitt, Carl W Dieffenbach.   

Abstract

Although many interactions between HIV-1 and human proteins have been reported in the scientific literature, no publicly accessible source for efficiently reviewing this information was available. Therefore, a project was initiated in an attempt to catalogue all published interactions between HIV-1 and human proteins. HIV-related articles in PubMed were used to develop a database containing names, Entrez GeneIDs, and RefSeq protein accession numbers of interacting proteins. Furthermore, brief descriptions of the interactions, PubMed identification numbers of articles describing the interactions, and keywords for searching the interactions were incorporated. Over 100,000 articles were reviewed, resulting in the identification of 1448 human proteins that interact with HIV-1 comprising 2589 unique HIV-1-to-human protein interactions. Preliminary analysis of the extracted data indicates 32% were direct physical interactions (e.g., binding) and 68% were indirect interactions (e.g., upregulation through activation of signaling pathways). Interestingly, 37% of human proteins in the database were found to interact with more than one HIV-1 protein. For example, the signaling protein mitogen-activated protein kinase 1 has a surprising range of interactions with 10 different HIV-1 proteins. Moreover, large numbers of interactions were published for the HIV-1 regulatory protein Tat and envelope proteins: 30% and 33% of total interactions identified, respectively. The database is accessible at http://www.ncbi.nlm.nih.gov/RefSeq/HIVInteractions/ and is cross-linked to other National Center for Biotechnology Information databases and programs via Entrez Gene. This database represents a unique and continuously updated scientific resource for understanding HIV-1 replication and pathogenesis to assist in accelerating the development of effective therapeutic and vaccine interventions.

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Year:  2008        PMID: 19025396      PMCID: PMC2655106          DOI: 10.1089/aid.2008.0113

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  16 in total

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4.  Herpesviral protein networks and their interaction with the human proteome.

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Journal:  Science       Date:  2005-12-08       Impact factor: 47.728

5.  Entrez Gene: gene-centered information at NCBI.

Authors:  Donna Maglott; Jim Ostell; Kim D Pruitt; Tatiana Tatusova
Journal:  Nucleic Acids Res       Date:  2006-12-05       Impact factor: 16.971

6.  NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.

Authors:  Kim D Pruitt; Tatiana Tatusova; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2006-11-27       Impact factor: 16.971

7.  NCBI GEO: mining tens of millions of expression profiles--database and tools update.

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10.  An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network.

Authors:  Brian J Holden; John W Pinney; Simon C Lovell; Grigoris D Amoutzias; David L Robertson
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  57 in total

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5.  A flow cytometry-based FRET assay to identify and analyse protein-protein interactions in living cells.

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8.  Human immunodeficiency virus type 1, human protein interaction database at NCBI.

Authors:  William Fu; Brigitte E Sanders-Beer; Kenneth S Katz; Donna R Maglott; Kim D Pruitt; Roger G Ptak
Journal:  Nucleic Acids Res       Date:  2008-10-15       Impact factor: 16.971

9.  Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs.

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10.  Host sequence motifs shared by HIV predict response to antiretroviral therapy.

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Journal:  BMC Med Genomics       Date:  2009-07-23       Impact factor: 3.063

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