Advanced

Human protein reference database as a discovery resource for proteomics

Peri, Suraj; Navarro, J Daniel; Kristiansen, Troels Z; Amanchy, Ramars; Surendranath, Vineeth; Muthusamy, Babylakshmi; Gandhi, T K B; Chandrika, K N; Deshpande, Nandan and Suresh, Shubha, et al. (2004) In Nucleic Acids Research 32(Database issue). p.497-501
Abstract

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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
@article{6bf3d924-4ae6-4d9b-a054-b6f8d5c2e37d,
  abstract     = {<p>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.</p>},
  author       = {Peri, Suraj and Navarro, J Daniel and Kristiansen, Troels Z and Amanchy, Ramars and Surendranath, Vineeth and Muthusamy, Babylakshmi and Gandhi, T K B and Chandrika, K N and Deshpande, Nandan and Suresh, Shubha and Rashmi, B. P.  and Shanker, K and Padma, N and Niranjan, Vidya and Harsha, H C and Talreja, Naveen and Vrushabendra, B M and Ramya, M A and Yatish, A J and Joy, Mary and Shivashankar, H N and Kavitha, M P and Menezes, Minal and Choudhury, Dipanwita Roy and Ghosh, Neelanjana and Saravana, R and Chandran, Sreenath and Mohan, S Sujatha and Jonnalagadda, Chandra Kiran and Prasad, C K and Kumar-Sinha, Chandan and Deshpande, Krishna S and Pandey, Akhilesh},
  issn         = {1362-4962},
  keyword      = {Computational Biology,Databases, Protein,Disease,Genomics,Humans,Information Storage and Retrieval,Internet,Protein Binding,Protein Processing, Post-Translational,Proteins,Proteome,Proteomics,Substrate Specificity,Vocabulary, Controlled},
  language     = {eng},
  month        = {01},
  number       = {Database issue},
  pages        = {497--501},
  publisher    = {Oxford University Press},
  series       = {Nucleic Acids Research},
  title        = {Human protein reference database as a discovery resource for proteomics},
  url          = {http://dx.doi.org/10.1093/nar/gkh070},
  volume       = {32},
  year         = {2004},
}