| URL: | http://cbg.garvan.unsw.edu.au/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. |
| Year founded: | 2009 |
| Last update: | 2012-01-01 |
| Version: | v2.0 |
| Accessibility: |
Accessible
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| Country/Region: | Australia |
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| University/Institution: | 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 (PI/Team): | Mark Cowley |
| Contact email (PI/Helpdesk): | m.cowley@garvan.org.au |
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PINA v2.0: mining interactome modules. [PMID: 22067443]
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/. |
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Integrated network analysis platform for protein-protein interactions. [PMID: 19079255]
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. |