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Development of human protein reference database as an initial platform for approaching systems biology in humans.

Publication ,  Journal Article
Peri, S; Navarro, JD; Amanchy, R; Kristiansen, TZ; Jonnalagadda, CK; Surendranath, V; Niranjan, V; Muthusamy, B; Gandhi, TKB; Gronborg, M ...
Published in: Genome Res
October 2003

Human Protein Reference Database (HPRD) is an object database that integrates a wealth of information relevant to the function of human proteins in health and disease. Data pertaining to thousands of protein-protein interactions, posttranslational modifications, enzyme/substrate relationships, disease associations, tissue expression, and subcellular localization were extracted from the literature for a nonredundant set of 2750 human proteins. Almost all the information was obtained manually by biologists who read and interpreted >300,000 published articles during the annotation process. This database, which has an intuitive query interface allowing easy access to all the features of proteins, was built by using open source technologies and will be freely available at http://www.hprd.org to the academic community. This unified bioinformatics platform will be useful in cataloging and mining the large number of proteomic interactions and alterations that will be discovered in the postgenomic era.

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Published In

Genome Res

DOI

ISSN

1088-9051

Publication Date

October 2003

Volume

13

Issue

10

Start / End Page

2363 / 2371

Location

United States

Related Subject Headings

  • Substrate Specificity
  • Protein Structure, Tertiary
  • Protein Structure, Quaternary
  • Protein Processing, Post-Translational
  • Protein Interaction Mapping
  • Macromolecular Substances
  • Humans
  • Genetics, Medical
  • Databases, Protein
  • Computational Biology
 

Citation

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Peri, S., Navarro, J. D., Amanchy, R., Kristiansen, T. Z., Jonnalagadda, C. K., Surendranath, V., … Pandey, A. (2003). Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res, 13(10), 2363–2371. https://doi.org/10.1101/gr.1680803
Peri, Suraj, J Daniel Navarro, Ramars Amanchy, Troels Z. Kristiansen, Chandra Kiran Jonnalagadda, Vineeth Surendranath, Vidya Niranjan, et al. “Development of human protein reference database as an initial platform for approaching systems biology in humans.Genome Res 13, no. 10 (October 2003): 2363–71. https://doi.org/10.1101/gr.1680803.
Peri S, Navarro JD, Amanchy R, Kristiansen TZ, Jonnalagadda CK, Surendranath V, et al. Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res. 2003 Oct;13(10):2363–71.
Peri, Suraj, et al. “Development of human protein reference database as an initial platform for approaching systems biology in humans.Genome Res, vol. 13, no. 10, Oct. 2003, pp. 2363–71. Pubmed, doi:10.1101/gr.1680803.
Peri S, Navarro JD, Amanchy R, Kristiansen TZ, Jonnalagadda CK, Surendranath V, Niranjan V, Muthusamy B, Gandhi TKB, Gronborg M, Ibarrola N, Deshpande N, Shanker K, Shivashankar HN, Rashmi BP, Ramya MA, Zhao Z, Chandrika KN, Padma N, Harsha HC, Yatish AJ, Kavitha MP, Menezes M, Choudhury DR, Suresh S, Ghosh N, Saravana R, Chandran S, Krishna S, Joy M, Anand SK, Madavan V, Joseph A, Wong GW, Schiemann WP, Constantinescu SN, Huang L, Khosravi-Far R, Steen H, Tewari M, Ghaffari S, Blobe GC, Dang CV, Garcia JGN, Pevsner J, Jensen ON, Roepstorff P, Deshpande KS, Chinnaiyan AM, Hamosh A, Chakravarti A, Pandey A. Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res. 2003 Oct;13(10):2363–2371.

Published In

Genome Res

DOI

ISSN

1088-9051

Publication Date

October 2003

Volume

13

Issue

10

Start / End Page

2363 / 2371

Location

United States

Related Subject Headings

  • Substrate Specificity
  • Protein Structure, Tertiary
  • Protein Structure, Quaternary
  • Protein Processing, Post-Translational
  • Protein Interaction Mapping
  • Macromolecular Substances
  • Humans
  • Genetics, Medical
  • Databases, Protein
  • Computational Biology