About this Journal Submit a Manuscript Table of Contents
BioMed Research International
Volume 2014 (2014), Article ID 258784, 9 pages
http://dx.doi.org/10.1155/2014/258784
Research Article

Network-Assisted Prediction of Potential Drugs for Addiction

1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
2Department of Biomedical Informatics, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
3Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN 37212, USA
4Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA

Received 22 November 2013; Accepted 30 December 2013; Published 9 February 2014

Academic Editor: Yufei Huang

Copyright © 2014 Jingchun Sun 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

The Supplementary Materials for this paper include two Tables. Table S1 provides the list of 91 target genes of 44 addictive drugs. Table S2 includes the non-addictive drugs involved in the expanded addictive drug-target network, their network properties (degree and betweenness), and literature search evaluation.

  1. Supplementary Materials