Nucleic Acids Research Advance Access published online on October 23, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn701
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Database Issue |
Human Proteinpedia: a unified discovery resource for proteomics research
1Institute of Bioinformatics, International Tech Park, Bangalore 560 066, 2Department of Biotechnology, Kuvempu University, Shankaraghatta, Karnataka, India and 3McKusick-Nathans Institute of Genetic Medicine and the Departments of Biological Chemistry, Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21205, USA
* To whom correspondence should be addressed. Tel: +410 502 6662; Fax: +410 502 7544; Email: pandey{at}jhmi.edu
Received August 16, 2008. Revised September 24, 2008. Accepted September 26, 2008.
Sharing proteomic data with the biomedical community through a unified proteomic resource, especially in the context of individual proteins, is a challenging prospect. We have developed a community portal, designated as Human Proteinpedia (http://www.humanproteinpedia.org/), for sharing both unpublished and published human proteomic data through the use of a distributed annotation system designed specifically for this purpose. This system allows laboratories to contribute and maintain protein annotations, which are also mapped to the corresponding proteins through the Human Protein Reference Database (HPRD; http://www.hprd.org/). Thus, it is possible to visualize data pertaining to experimentally validated posttranslational modifications (PTMs), protein isoforms, protein–protein interactions (PPIs), tissue expression, expression in cell lines, subcellular localization and enzyme substrates in the context of individual proteins. With enthusiastic participation of the proteomics community, the past 15 months have witnessed data contributions from more than 75 labs around the world including 2710 distinct experiments, >1.9 million peptides, >4.8 million MS/MS spectra, 150 368 protein expression annotations, 17 410 PTMs, 34 624 PPIs and 2906 subcellular localization annotations. Human Proteinpedia should serve as an integrated platform to store, integrate and disseminate such proteomic data and is inching towards evolving into a unified human proteomics resource.