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Database Commons - PINA

PINA

Citations: 281

z-index 24.35

Short name PINA
Full name Protein Interaction Network Analysis
Description Protein Interaction Network Analysis (PINA) platform is an integrated platform for protein interaction network construction, filtering, analysis, visualization and management. It integrates protein-protein interaction data from six public curated databases and builds a complete, non-redundant protein interaction dataset for six model organisms. Moreover, it provides a variety of built-in tools to filter and analyze the network for gaining insight into the network.
URL http://cbg.garvan.unsw.edu.au/pina/
Year founded 2009
Last update & version 2012-01-01    v2.0
Availability Free to all users
University/Institution hosted Garvan Institute of Medical Research
Address Darlinghurst, Sydney, New South Wales 2010, Australia
City Sydney
Province/State New South Wales
Country/Region Australia
Contact name Mark Cowley
Contact email m.cowley@garvan.org.au
Data type(s)
Major organism(s)
Keyword(s)
  • tissue-specific protein interaction
Publication(s)
  • PINA v2.0: mining interactome modules. [PMID: 22067443]

    Mark J Cowley, Mark Pinese, Karin S Kassahn, Nic Waddell, John V Pearson, Sean M Grimmond, Andrew V Biankin, Sampsa Hautaniemi, Jianmin Wu
    Nucleic acids research 2012:40(Database issue)
    101 Citations (Google Scholar as of 2016-01-19)

    Abstract: The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes a database of unified protein-protein interaction data integrated from six manually curated public databases, and a set of built-in tools for network construction, filtering, analysis and visualization. The second version of PINA enhances its utility for studies of protein interactions at a network level, by including multiple collections of interaction modules identified by different clustering approaches from the whole network of protein interactions ('interactome') for six model organisms. All identified modules are fully annotated by enriched Gene Ontology terms, KEGG pathways, Pfam domains and the chemical and genetic perturbations collection from MSigDB. Moreover, a new tool is provided for module enrichment analysis in addition to simple query function. The interactome data are also available on the web site for further bioinformatics analysis. PINA is freely accessible at http://cbg.garvan.unsw.edu.au/pina/.

  • Integrated network analysis platform for protein-protein interactions. [PMID: 19079255]

    Jianmin Wu, Tea Vallenius, Kristian Ovaska, Jukka Westermarck, Tomi P Mäkelä, Sampsa Hautaniemi
    Nature methods 2009:6(1)
    180 Citations (Google Scholar as of 2016-01-26)

    Abstract: There is an increasing demand for network analysis of protein-protein interactions (PPIs). We introduce a web-based protein interaction network analysis platform (PINA), which integrates PPI data from six databases and provides network construction, filtering, analysis and visualization tools. We demonstrated the advantages of PINA by analyzing two human PPI networks; our results suggested a link between LKB1 and TGFbeta signaling, and revealed possible competitive interactors of p53 and c-Jun.

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Accessibility

Rate of accessibility:
HTTP status codeDate requested
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200 OK2018-04-24
200 OK2018-04-20
200 OK2018-04-17
200 OK2018-04-13
200 OK2018-04-10
200 OK2018-04-06
200 OK2018-04-03
200 OK2018-02-27
200 OK2018-02-23
200 OK2018-02-20
200 OK2018-02-16
200 OK2018-02-13
200 OK2018-02-09
200 OK2018-02-06
200 OK2018-02-02
200 OK2018-01-30
200 OK2018-01-26
200 OK2018-01-23
200 OK2018-01-19
200 OK2018-01-16
200 OK2018-01-12
200 OK2018-01-09
200 OK2018-01-05
200 OK2018-01-02
200 OK2017-12-29
200 OK2017-12-26
200 OK2017-12-22
200 OK2017-12-19
200 OK2017-12-15
200 OK2017-12-12
200 OK2017-12-08
200 OK2017-12-05
200 OK2017-12-01
200 OK2017-11-28
200 OK2017-11-24
200 OK2017-11-21
200 OK2017-11-17
200 OK2017-11-14
200 OK2017-11-10
200 OK2017-11-07
200 OK2017-11-03
200 OK2017-10-31
200 OK2017-10-27
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200 OK2017-05-16
200 OK2017-05-12
200 OK2017-05-09
200 OK2017-05-05
200 OK2017-05-02
200 OK2017-04-28
200 OK2017-04-25
200 OK2017-04-21
200 OK2017-04-18
200 OK2017-04-14
200 OK2017-04-11
200 OK2017-04-07
200 OK2017-04-04
200 OK2017-03-31
200 OK2017-03-28
200 OK2017-03-24
200 OK2017-03-21
200 OK2017-03-17
200 OK2017-03-14
200 OK2017-03-10
200 OK2017-03-07
200 OK2017-03-03
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200 OK2017-01-24
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200 OK2017-01-17
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200 OK2017-01-06
200 OK2017-01-03
200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
200 OK2016-12-09
200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
200 OK2016-11-25
200 OK2016-11-22
200 OK2016-11-18
200 OK2016-11-15
-1 Failed2016-11-11
-1 Failed2016-11-08
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-1 Failed2016-11-01
-1 Failed2016-10-28
200 OK2016-10-25
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-1 Failed2016-10-18
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
-1 Failed2016-09-09
-1 Failed2016-09-06
-1 Failed2016-09-02
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200 OK2016-08-26
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200 OK2016-08-19
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200 OK2016-08-09
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-1 Failed2016-08-02
-1 Failed2016-07-29
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200 OK2016-07-08
200 OK2016-07-05
200 OK2016-07-01
200 OK2016-06-28
503 Failed2016-06-24
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
-1 Failed2016-04-29
-1 Failed2016-04-26
-1 Failed2016-04-22
-1 Failed2016-04-19
-1 Failed2016-04-15
200 OK2016-04-12
200 OK2016-04-08
200 OK2016-04-05
200 OK2016-04-01
200 OK2016-03-29
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
503 Failed2016-03-04
503 Failed2016-03-02
503 Failed2016-02-29
503 Failed2016-02-26
503 Failed2016-02-24
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
Arabidopsis thaliana Caenorhabditis elegans Drosophila melanogaster Homo sapiens Mus musculus Rattus norvegicus Saccharomyces cerevisiae
tissue-specific protein interaction

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Zhang Zhang [2016-04-26]
    • Shixiang Sun [2016-03-25]
    • Shixiang Sun [2015-11-21]
    • Shixiang Sun [2015-06-28]
    • Shixiang Sun [2015-06-26]
Stats