Database Commons a catalog of biological databases

Database Commons - HIV-1 Human Interaction Database

HIV-1 Human Interaction Database

Citations: 171

z-index 5.81

Short name HIV-1 Human Interaction Database
Full name
Description It serves the scientific community exploring the discovery of novel HIV vaccine candidates and therapeutic targets.
URL http://www.ncbi.nlm.nih.gov/genome/viruses/retroviruses/hiv-1/interactions/
Year founded 2004
Last update & version 2014-07-25    v1.0
Availability Free to all users
University/Institution hosted National Center for Biotechnology Information
Address National Library of Medicine, National Institutes of Health, 8600 Rockville Pike,Bethesda,MD 20894,USA
City Bethesda
Province/State MD
Country/Region United States
Contact name Kim D. Pruitt
Contact email pruitt@ncbi.nlm.nih.gov
Data type(s)
Major organism(s)
Keyword(s)
  • HIV
Publication(s)
  • HIV-1, human interaction database: current status and new features. [PMID: 25378338]

    Danso Ako-Adjei, William Fu, Craig Wallin, Kenneth S Katz, Guangfeng Song, Dakshesh Darji, J Rodney Brister, Roger G Ptak, Kim D Pruitt
    Nucleic acids research 2015:43(Database issue)
    7 Citations (Google Scholar as of 2016-04-11)

    Abstract: The 'Human Immunodeficiency Virus Type 1 (HIV-1), Human Interaction Database', available through the National Library of Medicine at http://www.ncbi.nlm.nih.gov/genome/viruses/retroviruses/hiv-1/interactions, serves the scientific community exploring the discovery of novel HIV vaccine candidates and therapeutic targets. Each HIV-1 human protein interaction can be retrieved without restriction by web-based downloads and ftp protocols and includes: Reference Sequence (RefSeq) protein accession numbers, National Center for Biotechnology Information Gene identification numbers, brief descriptions of the interactions, searchable keywords for interactions and PubMed identification numbers (PMIDs) of journal articles describing the interactions. In addition to specific HIV-1 protein-human protein interactions, included are interaction effects upon HIV-1 replication resulting when individual human gene expression is blocked using siRNA. A total of 3142 human genes are described participating in 12,786 protein-protein interactions, along with 1316 replication interactions described for each of 1250 human genes identified using small interfering RNA (siRNA). Together the data identifies 4006 human genes involved in 14,102 interactions. With the inclusion of siRNA interactions we introduce a redesigned web interface to enhance viewing, filtering and downloading of the combined data set. Published by Oxford University Press on behalf of Nucleic Acids Research 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  • HIV-host interactions: a map of viral perturbation of the host system. [PMID: 19262354]

    John W Pinney, Jonathan E Dickerson, William Fu, Brigitte E Sanders-Beer, Roger G Ptak, David L Robertson
    AIDS (London, England) 2009:23(5)
    26 Citations (Google Scholar as of 2016-04-11)

    Abstract:

  • Human immunodeficiency virus type 1, human protein interaction database at NCBI. [PMID: 18927109]

    William Fu, Brigitte E Sanders-Beer, Kenneth S Katz, Donna R Maglott, Kim D Pruitt, Roger G Ptak
    Nucleic acids research 2009:37(Database issue)
    98 Citations (Google Scholar as of 2016-04-11)

    Abstract: The 'Human Immunodeficiency Virus Type 1 (HIV-1), Human Protein Interaction Database', available through the National Library of Medicine at www.ncbi.nlm.nih.gov/RefSeq/HIVInteractions, was created to catalog all interactions between HIV-1 and human proteins published in the peer-reviewed literature. The database serves the scientific community exploring the discovery of novel HIV vaccine candidates and therapeutic targets. To facilitate this discovery approach, the following information for each HIV-1 human protein interaction is provided and can be retrieved without restriction by web-based downloads and ftp protocols: Reference Sequence (RefSeq) protein accession numbers, Entrez Gene identification numbers, brief descriptions of the interactions, searchable keywords for interactions and PubMed identification numbers (PMIDs) of journal articles describing the interactions. Currently, 2589 unique HIV-1 to human protein interactions and 5135 brief descriptions of the interactions, with a total of 14,312 PMID references to the original articles reporting the interactions, are stored in this growing database. In addition, all protein-protein interactions documented in the database are integrated into Entrez Gene records and listed in the 'HIV-1 protein interactions' section of Entrez Gene reports. The database is also tightly linked to other databases through Entrez Gene, enabling users to search for an abundance of information related to HIV pathogenesis and replication.

  • Cataloguing the HIV type 1 human protein interaction network. [PMID: 19025396]

    Roger G Ptak, 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
    AIDS research and human retroviruses 2008:24(12)
    40 Citations (Google Scholar as of 2016-04-11)

    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.

Community reviews

Data
quality & quantity
Content organization & presentation
System accessibility & reliability
Reviewed by

Word cloud (embeddable)

Database Commons - Word Cloud

Accessibility

Rate of accessibility:
HTTP status codeDate requested
-1 Failed2018-11-16
-1 Failed2018-11-13
-1 Failed2018-11-09
-1 Failed2018-11-06
-1 Failed2018-11-02
-1 Failed2018-10-30
-1 Failed2018-10-26
-1 Failed2018-10-23
-1 Failed2018-10-19
-1 Failed2018-10-16
-1 Failed2018-10-12
-1 Failed2018-10-09
-1 Failed2018-10-05
-1 Failed2018-10-02
-1 Failed2018-09-28
-1 Failed2018-09-25
-1 Failed2018-09-21
-1 Failed2018-09-18
-1 Failed2018-09-14
-1 Failed2018-09-11
-1 Failed2018-09-07
-1 Failed2018-09-04
-1 Failed2018-08-31
-1 Failed2018-08-28
-1 Failed2018-08-24
-1 Failed2018-08-21
-1 Failed2018-08-17
-1 Failed2018-08-14
-1 Failed2018-08-10
-1 Failed2018-08-07
-1 Failed2018-08-03
-1 Failed2018-07-31
-1 Failed2018-07-27
-1 Failed2018-07-24
-1 Failed2018-07-20
-1 Failed2018-07-17
-1 Failed2018-07-13
-1 Failed2018-07-10
-1 Failed2018-07-06
-1 Failed2018-07-03
-1 Failed2018-06-29
-1 Failed2018-06-26
-1 Failed2018-06-22
-1 Failed2018-06-19
-1 Failed2018-06-15
-1 Failed2018-06-12
-1 Failed2018-06-08
-1 Failed2018-06-05
-1 Failed2018-06-01
-1 Failed2018-05-29
-1 Failed2018-05-25
-1 Failed2018-05-22
-1 Failed2018-05-18
-1 Failed2018-05-15
-1 Failed2018-05-11
-1 Failed2018-05-08
-1 Failed2018-05-04
-1 Failed2018-05-01
-1 Failed2018-04-27
-1 Failed2018-04-24
-1 Failed2018-04-20
-1 Failed2018-04-17
-1 Failed2018-04-13
-1 Failed2018-04-10
-1 Failed2018-04-06
-1 Failed2018-04-03
-1 Failed2018-02-27
-1 Failed2018-02-23
-1 Failed2018-02-20
-1 Failed2018-02-16
-1 Failed2018-02-13
-1 Failed2018-02-09
-1 Failed2018-02-06
-1 Failed2018-02-02
-1 Failed2018-01-30
-1 Failed2018-01-26
-1 Failed2018-01-23
-1 Failed2018-01-19
-1 Failed2018-01-16
-1 Failed2018-01-12
-1 Failed2018-01-09
-1 Failed2018-01-05
-1 Failed2018-01-02
-1 Failed2017-12-29
-1 Failed2017-12-26
-1 Failed2017-12-22
-1 Failed2017-12-19
-1 Failed2017-12-15
-1 Failed2017-12-12
-1 Failed2017-12-08
-1 Failed2017-12-05
-1 Failed2017-12-01
-1 Failed2017-11-28
-1 Failed2017-11-24
-1 Failed2017-11-21
-1 Failed2017-11-17
-1 Failed2017-11-14
-1 Failed2017-11-10
-1 Failed2017-11-07
-1 Failed2017-11-03
-1 Failed2017-10-31
-1 Failed2017-10-27
-1 Failed2017-10-24
-1 Failed2017-10-20
-1 Failed2017-10-17
-1 Failed2017-10-13
-1 Failed2017-10-10
-1 Failed2017-10-06
-1 Failed2017-10-03
-1 Failed2017-09-29
-1 Failed2017-09-26
-1 Failed2017-09-22
-1 Failed2017-09-19
-1 Failed2017-09-15
-1 Failed2017-09-12
-1 Failed2017-09-08
-1 Failed2017-09-05
-1 Failed2017-09-01
-1 Failed2017-08-29
-1 Failed2017-08-25
-1 Failed2017-08-22
-1 Failed2017-08-18
-1 Failed2017-08-15
-1 Failed2017-08-11
-1 Failed2017-08-08
-1 Failed2017-08-04
-1 Failed2017-08-01
-1 Failed2017-07-28
-1 Failed2017-07-25
-1 Failed2017-07-21
-1 Failed2017-07-18
-1 Failed2017-07-14
-1 Failed2017-07-04
-1 Failed2017-06-30
-1 Failed2017-06-27
-1 Failed2017-06-23
-1 Failed2017-06-20
-1 Failed2017-06-16
-1 Failed2017-06-13
-1 Failed2017-06-09
-1 Failed2017-06-06
-1 Failed2017-06-02
-1 Failed2017-05-30
-1 Failed2017-05-26
-1 Failed2017-05-23
-1 Failed2017-05-19
-1 Failed2017-05-16
-1 Failed2017-05-12
-1 Failed2017-05-09
-1 Failed2017-05-05
-1 Failed2017-05-02
-1 Failed2017-04-28
-1 Failed2017-04-25
-1 Failed2017-04-21
-1 Failed2017-04-18
-1 Failed2017-04-14
-1 Failed2017-04-11
-1 Failed2017-04-07
-1 Failed2017-04-04
-1 Failed2017-03-31
-1 Failed2017-03-28
-1 Failed2017-03-24
-1 Failed2017-03-21
-1 Failed2017-03-17
-1 Failed2017-03-14
-1 Failed2017-03-10
-1 Failed2017-03-07
-1 Failed2017-03-03
-1 Failed2017-02-28
-1 Failed2017-02-24
-1 Failed2017-02-21
-1 Failed2017-02-17
-1 Failed2017-02-14
-1 Failed2017-02-10
-1 Failed2017-02-07
-1 Failed2017-02-03
-1 Failed2017-01-31
-1 Failed2017-01-27
-1 Failed2017-01-24
-1 Failed2017-01-20
-1 Failed2017-01-17
-1 Failed2017-01-13
-1 Failed2017-01-10
-1 Failed2017-01-06
-1 Failed2017-01-03
-1 Failed2016-12-30
-1 Failed2016-12-27
-1 Failed2016-12-23
-1 Failed2016-12-20
-1 Failed2016-12-16
-1 Failed2016-12-13
-1 Failed2016-12-09
-1 Failed2016-12-06
-1 Failed2016-12-02
-1 Failed2016-11-29
-1 Failed2016-11-25
-1 Failed2016-11-22
-1 Failed2016-11-18
-1 Failed2016-11-15
-1 Failed2016-11-11
-1 Failed2016-11-08
200 OK2016-11-04
200 OK2016-11-01
200 OK2016-10-28
200 OK2016-10-25
200 OK2016-10-21
200 OK2016-10-18
200 OK2016-10-14
200 OK2016-10-11
200 OK2016-10-07
200 OK2016-10-04
200 OK2016-09-30
200 OK2016-09-27
200 OK2016-09-23
200 OK2016-09-20
200 OK2016-09-16
200 OK2016-09-13
200 OK2016-09-09
200 OK2016-09-06
200 OK2016-09-02
200 OK2016-08-30
200 OK2016-08-26
200 OK2016-08-23
200 OK2016-08-19
200 OK2016-08-16
200 OK2016-08-12
200 OK2016-08-09
200 OK2016-08-05
200 OK2016-08-02
200 OK2016-07-29
200 OK2016-07-26
200 OK2016-07-22
200 OK2016-07-19
200 OK2016-07-15
200 OK2016-07-12
200 OK2016-07-08
200 OK2016-07-05
200 OK2016-07-01
200 OK2016-06-28
200 OK2016-06-24
200 OK2016-06-21
200 OK2016-06-17
200 OK2016-06-14
200 OK2016-06-10
200 OK2016-06-07
200 OK2016-06-03
200 OK2016-05-31
200 OK2016-05-27
200 OK2016-05-24
200 OK2016-05-20
200 OK2016-05-17
200 OK2016-05-13
200 OK2016-05-10
200 OK2016-05-06
200 OK2016-05-03
200 OK2016-04-29
200 OK2016-04-26
200 OK2016-04-22
200 OK2016-04-19
200 OK2016-04-15
200 OK2016-04-12
200 OK2016-04-08
200 OK2016-04-05
200 OK2016-04-01
-1 Failed2016-03-29
200 OK2016-03-28
200 OK2016-03-25
200 OK2016-03-23
200 OK2016-03-21
200 OK2016-03-18
200 OK2016-03-16
200 OK2016-03-14
200 OK2016-03-11
200 OK2016-03-09
200 OK2016-03-07
200 OK2016-03-04
200 OK2016-03-02
200 OK2016-02-29
200 OK2016-02-26
200 OK2016-02-24
200 OK2016-02-22
200 OK2016-02-19
200 OK2016-02-17
200 OK2016-02-15
200 OK2016-02-14
200 OK2016-02-12
200 OK2016-02-10
200 OK2016-02-08
200 OK2016-02-07
200 OK2016-02-05
200 OK2016-02-03
200 OK2016-02-01
200 OK2016-01-31
200 OK2016-01-29
200 OK2016-01-27
200 OK2016-01-25
200 OK2016-01-24
200 OK2016-01-22
200 OK2016-01-20
200 OK2016-01-18
200 OK2016-01-17
200 OK2016-01-15
200 OK2016-01-13
200 OK2016-01-11
200 OK2016-01-10
200 OK2016-01-08
200 OK2016-01-06
200 OK2016-01-04

Tags

Interaction and Network Protein
Homo sapiens
HIV

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Chunlei Yu [2016-04-11]
    • Chunlei Yu [2016-03-31]
    • Mengwei Li [2016-02-13]
    • Chunlei Yu [2015-11-19]
    • Chunlei Yu [2015-06-27]
Stats