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BioMed Research International
Volume 2015, Article ID 350983, 9 pages
http://dx.doi.org/10.1155/2015/350983
Research Article

Predicting Drug-Target Interactions via Within-Score and Between-Score

1School of Life Sciences, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, China
2School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, China

Received 19 November 2014; Accepted 6 January 2015

Academic Editor: Liam McGuffin

Copyright © 2015 Jian-Yu Shi 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

Table S1 lists the counts of four types of motifs, including multiple, drug-centered, target-centered, and single interacting motifs, in four adopted datasets. Fig S1, S2, S3 and S4 show the distributions of the proposed features of four different motifs by histograms respectively. The distributions of known drug-target interactions and unapproved drug-target pairs are rendered in different colors.

  1. Supplementary Material