UniHI Edit

Citations: 132

z-index: 11

Basic information
Short name UniHI
Full name Unified Human Interactome
Description Unified Human Interactome (UniHI) is a database for retrieval,analysis and visualization of human molecular interaction networks.
URL http://www.unihi.org
Year founded 2007
Last update & version 2013-12-28 v7.0
Availability Free to all users
Contact information
University/Institution hosted University of Algarve
Address Edf 5 8005-139 Faro ,PORTUGAL
City Faro
Country/Region Portugal
Contact name (PI/Team) Matthias E. Futschik
Contact email (PI/Helpdesk) mfutschik@ualg.pt
Data information
Data object
Data type
Database category
Major organism
  • UniHI 7: an enhanced database for retrieval and interactive analysis of human molecular interaction networks. [PMID: 24214987]
    Ravi Kiran Reddy Kalathur, José Pedro Pinto, Miguel A Hernández-Prieto, Rui S R Machado, Dulce Almeida, Gautam Chaurasia, Matthias E Futschik

    Unified Human Interactome (UniHI) (http://www.unihi.org) is a database for retrieval, analysis and visualization of human molecular interaction networks. Its primary aim is to provide a comprehensive and easy-to-use platform for network-based investigations to a wide community of researchers in biology and medicine. Here, we describe a major update (version 7) of the database previously featured in NAR Database Issue. UniHI 7 currently includes almost 350,000 molecular interactions between genes, proteins and drugs, as well as numerous other types of data such as gene expression and functional annotation. Multiple options for interactive filtering and highlighting of proteins can be employed to obtain more reliable and specific network structures. Expression and other genomic data can be uploaded by the user to examine local network structures. Additional built-in tools enable ready identification of known drug targets, as well as of biological processes, phenotypes and pathways enriched with network proteins. A distinctive feature of UniHI 7 is its user-friendly interface designed to be utilized in an intuitive manner, enabling researchers less acquainted with network analysis to perform state-of-the-art network-based investigations.

    Nucleic Acids Res 2014:42(Database issue)

    30 Citations (from Europe PMC, 2019-04-13)

  • The integration and annotation of the human interactome in the UniHI Database. [PMID: 22218860]
    Gautam Chaurasia, Matthias Futschik,

    In recent years, remarkable progress has been made toward the systematic charting of human protein interactions. The utilization of the generated interaction data remained however challenging for biomedical researchers due to lack of integration of currently available resources. To facilitate the direct access and analysis of the human interactome, we have developed the Unified Human Interactome (UniHI) database. It provides researchers with a user-friendly Web-interface and integrates interaction data from 12 major resources in its latest version, establishing one of the largest catalogs for human PPIs worldwide. At present, UniHI houses over 250,000 distinct interactions between 22,300 unique proteins and is publically available at http://www.unihi.org.

    Methods Mol Biol 2012:812()

    1 Citations (from Europe PMC, 2019-04-13)

  • UniHI 4: new tools for query, analysis and visualization of the human protein-protein interactome. [PMID: 18984619]
    Gautam Chaurasia, Soniya Malhotra, Jenny Russ, Sigrid Schnoegl, Christian Hänig, Erich E Wanker, Matthias E Futschik

    Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein-protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250,000 interactions between approximately 22,300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies.

    Nucleic Acids Res 2009:37(Database issue)

    34 Citations (from Europe PMC, 2019-04-13)

  • UniHI: an entry gate to the human protein interactome. [PMID: 17158159]
    Gautam Chaurasia, Yasir Iqbal, Christian Hänig, Hanspeter Herzel, Erich E Wanker, Matthias E Futschik

    Systematic mapping of protein-protein interactions has become a central task of functional genomics. To map the human interactome, several strategies have recently been pursued. The generated interaction datasets are valuable resources for scientists in biology and medicine. However, comparison reveals limited overlap between different interaction networks. This divergence obstructs usability, as researchers have to interrogate numerous heterogeneous datasets to identify potential interaction partners for proteins of interest. To facilitate direct access through a single entry gate, we have started to integrate currently available human protein interaction data in an easily accessible online database. It is called UniHI (Unified Human Interactome) and is available at http://www.mdc-berlin.de/unihi. At present, it is based on 10 major interaction maps derived by computational and experimental methods. It includes more than 150,000 distinct interactions between more than 17 000 unique human proteins. UniHI provides researchers with a flexible integrated tool for finding and using comprehensive information about the human interactome.

    Nucleic Acids Res 2007:35(Database issue)

    67 Citations (from Europe PMC, 2019-04-13)


  • Ranking in all databases: No. 600
  • Ranking in category/categories:
    • Interaction: No. 97
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of UniHI.

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Record metadata

  • Created on: 2015-06-20
    • ***hy@***c.cn [2016-03-31]
    • ***ina@***c.cn [2015-12-31]
    • ***hy@***c.cn [2015-11-22]
    • ***hy@***c.cn [2015-06-26]

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