Journal of Biomedicine and Biotechnology
Volume 2010 (2010), Article ID 426479, 13 pages
doi:10.1155/2010/426479
Methodology Report

Literature-Based Discovery of IFN-γ and Vaccine-Mediated Gene Interaction Networks

Arzucan Özgür,1 Zuoshuang Xiang,2,3,4 Dragomir R. Radev,1,5 and Yongqun He2,3,4

1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
2Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
3Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
4Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
5School of Information, University of Michigan, Ann Arbor, MI 48109, USA

Received 1 November 2009; Accepted 8 March 2010

Academic Editor: Rino Rappuoli

Copyright © 2010 Arzucan Özgür et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Figure 1. The graph of the generic IFNG network extracted from the literature. The network consists of 1060 nodes (genes) and 26,313 edges (interactions). The purple nodes are the genes that are central in both the generic and the IFNG-vaccine networks. The green nodes are the genes that are central in only the generic IFNG network and the red nodes are the genes that are central in only the IFNG-vaccine network. The rest of the nodes are shown in yellow.

Supplementary File 1. The rankings of all the genes in the generic IFNG network by degree, eigenvector, betweenness, and closeness centrality metrics.

Supplementary File 2. The rankings of all the genes in the IFNG-vaccine network by degree, eigenvector, betweenness, and closeness centrality metrics.

  1. Supplementary Figure 1
  2. Supplementary File 1
  3. Supplementary File 2