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The BioGRID interaction database: 2015 update.

Andrew Chatr-Aryamontri1, Bobby-Joe Breitkreutz2, Rose Oughtred3

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This summary is machine-generated.

The Biological General Repository for Interaction Datasets (BioGRID) database now contains over 749,000 genetic and protein interactions from 30 species. This 50% growth highlights BioGRID's expanding role in biomedical research.

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Area of Science:

  • * Molecular Biology
  • * Genetics
  • * Bioinformatics

Background:

  • * The Biological General Repository for Interaction Datasets (BioGRID) is a vital open-access database.
  • * It archives genetic and protein interactions curated from scientific literature.
  • * Covers major model organisms and human species.

Purpose of the Study:

  • * To update and expand the BioGRID database with new interaction data.
  • * To enhance the BioGRID architecture for broader data representation and improved curation.
  • * To support research in systems biology and human disease.

Main Methods:

  • * Systematic curation of genetic and protein interactions from the primary biomedical literature.
  • * Utilizing an Interaction Management System (IMS) with structured evidence codes and ontologies.
  • * Incorporating semi-automated text-mining for expedited and quality-controlled curation.

Main Results:

  • * As of September 2014, BioGRID contains 749,912 interactions from 43,149 publications.
  • * Represents a 50% increase in interaction data since the 2013 update.
  • * Data covers 30 model organisms and humans, freely distributed and downloadable.

Conclusions:

  • * BioGRID continues to be a comprehensive resource for interaction data.
  • * Architectural improvements enhance support for diverse interaction types and complex networks.
  • * Themed curation projects focus on areas like the ubiquitin-proteasome system and disease networks.