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HPID: the Human Protein Interaction Database.

Kyungsook Han1, Byungkyu Park, Hyongguen Kim

  • 1School of Computer Science and Engineering, Inha University, Inchon 402-751, Korea. khan@inha.ac.kr

Bioinformatics (Oxford, England)
|May 1, 2004
PubMed
Summary
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The Human Protein Interaction Database offers pre-computed and predicted human protein interactions. It allows users to submit data and visualize complex protein networks.

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Systems Biology

Background:

  • The Human Protein Interaction Database (HPID) is a valuable resource for exploring protein interactions.
  • It integrates data from structural and experimental sources.

Purpose of the Study:

  • To provide pre-computed human protein interaction data.
  • To predict potential protein interactions for user-submitted proteins.
  • To serve as a repository for new human protein interaction data.

Main Methods:

  • Interactions are categorized at the protein superfamily level by analyzing Protein Data Bank (PDB) structural data and SCOP domains.
  • Interactions are also inferred from yeast protein interactions by identifying homologous proteins.
  • Web-based tools are available for visualizing and analyzing protein interaction networks.

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Main Results:

  • The database offers two types of pre-computed interactions: superfamily-level and yeast-homolog-transferred.
  • It displays protein superfamilies, yeast proteins, and their interacting partners for database entries and user queries.
  • Users can explore and analyze protein interaction networks using provided web tools.

Conclusions:

  • The HPID facilitates the study of human protein interactions through comprehensive data and analytical tools.
  • It supports research by providing access to predicted and experimentally derived interaction information.
  • The database encourages data sharing and collaborative research in the field of protein interactions.