Integrating Gene Expression Data, Protein Interaction Data, and Ontology-Based Literature Searches

Part of the Computational Biology book series (COBO, volume 5)

Until recently, genomics and proteomics have commonly been separate fields that are studied and applied independently. We introduce the BioGrid4 platform, which aims to bridge this gap by integrating gene expression and protein interaction data. In the expression space, gene expression data can be analyzed using standard clustering techniques. To link the gene expression space with the protein interaction space, we assign domains and superfamilies to gene products by applying the SUPERFAMILY tool and the Structural Classification of Proteins (SCOP) database. For these proteins, the BioGrid platform may display possible physical interactions between them as predicted by the Protein Structure Interactome Map (PSIMAP). Any findings in the gene expression and protein interaction space should be compared with those reported in the scientific literature. Therefore both spaces are linked to a literature space by integrating GoPubMed, a system for ontology-based literature searches, into the BioGrid platform. We illustrate the approach that the BioGrid platform enables through an analysis of energy-related genes and protein complexes.


Gene Ontology Protein Data Bank Interaction Space Protein Interaction Data Expression Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer 2004

Authors and Affiliations

  1. 1.Department of ComputingCity UniversityUK
  2. 2.MRC Dunn Human Nutrition UnitUK
  3. 3.Biotec/Dept. of ComputingGermany

Personalised recommendations