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Nucleic Acids Research, 2004, Vol. 32, Database issue D497-D501
© 2004 Oxford University Press

Human protein reference database as a discovery resource for proteomics

Suraj Peri1,2, J. Daniel Navarro1,3, Troels Z. Kristiansen1,2, Ramars Amanchy1, Vineeth Surendranath4, Babylakshmi Muthusamy4, T. K. B. Gandhi4, K. N. Chandrika4, Nandan Deshpande4, Shubha Suresh4, B. P. Rashmi4, K. Shanker4, N. Padma4, Vidya Niranjan4, H. C. Harsha4, Naveen Talreja4, B. M. Vrushabendra4, M. A. Ramya4, A. J. Yatish4, Mary Joy4, H. N. Shivashankar4, M. P. Kavitha4, Minal Menezes4, Dipanwita Roy Choudhury4, Neelanjana Ghosh4, R. Saravana4, Sreenath Chandran4, Sujatha Mohan4, Chandra Kiran Jonnalagadda1,4, C. K. Prasad4, Chandan Kumar-Sinha4, Krishna S. Deshpande4 and Akhilesh Pandey*,1

1 McKusick–Nathans Institute of Genetic Medicine and Department of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21287, USA, 2 Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark, 3 Departamento de Automática y Computación, Área de Ciencias de la Computación e Inteligencia Artificial, Universidad Pública de Navarra, 31006 Pamplona, Spain and 4 Institute of Bioinformatics, Discoverer 7th Floor, International Technology Park Ltd, Bangalore 560 066, India

*To whom correspondence should be addressed. Tel: +1 410 502 6662; Fax: +1 410 502 7543; Email: pandey{at}jhmi.edu
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors

The rapid pace at which genomic and proteomic data is being generated necessitates the development of tools and resources for managing data that allow integration of information from disparate sources. The Human Protein Reference Database (http://www.hprd.org) is a web-based resource based on open source technologies for protein information about several aspects of human proteins including protein–protein interactions, post-translational modifications, enzyme–substrate relationships and disease associations. This information was derived manually by a critical reading of the published literature by expert biologists and through bioinformatics analyses of the protein sequence. This database will assist in biomedical discoveries by serving as a resource of genomic and proteomic information and providing an integrated view of sequence, structure, function and protein networks in health and disease.


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