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Rashmi Prasad

Rashmi Prasad

Assistant researcher

Rashmi Prasad

Human protein reference database as a discovery resource for proteomics


  • Suraj Peri
  • J Daniel Navarro
  • Troels Z Kristiansen
  • Ramars Amanchy
  • Vineeth Surendranath
  • Babylakshmi Muthusamy
  • T K B Gandhi
  • K N Chandrika
  • Nandan Deshpande
  • Shubha Suresh
  • B. P. Rashmi
  • K Shanker
  • N Padma
  • Vidya Niranjan
  • H C Harsha
  • Naveen Talreja
  • B M Vrushabendra
  • M A Ramya
  • A J Yatish
  • Mary Joy
  • H N Shivashankar
  • M P Kavitha
  • Minal Menezes
  • Dipanwita Roy Choudhury
  • Neelanjana Ghosh
  • R Saravana
  • Sreenath Chandran
  • S Sujatha Mohan
  • Chandra Kiran Jonnalagadda
  • C K Prasad
  • Chandan Kumar-Sinha
  • Krishna S Deshpande
  • Akhilesh Pandey

Summary, in English

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 ( 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.

Publishing year







Nucleic Acids Research




Database issue

Document type

Journal article


Oxford University Press


  • 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




  • ISSN: 1362-4962