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BioMed Research International
Volume 2014, Article ID 931825, 10 pages
http://dx.doi.org/10.1155/2014/931825
Research Article

Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways

1Department of Bioinformatics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, China
2Faculty of Health Sciences, University of Macau, Macau

Received 1 March 2014; Revised 13 May 2014; Accepted 22 May 2014; Published 13 July 2014

Academic Editor: Siyuan Zheng

Copyright © 2014 Yan Li 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

Figure S1: Visualisation of the M-P link map for liver cancer from GSE5364 and its degree distribution.

Figure S2: Visualisation of the M-P link map for lung cancer from GSE5364 and its degree distribution.

Figure S3: Hierarchical clustering in the M-P link map for liver cancer from GSE5364.

Figure S4: Hierarchical clustering in the M-P link map for lung cancer from GSE5364.

TABLE S1: The characteristics of molecules with the sM-mP pattern in liver cancer.

TABLE S2: The characteristics of molecules with the sM-mP pattern in lung cancer.

TABLE S3: Details of the validation analysis by comparing the relationship of small molecules targeting pathways to DrugBank and CTD databases for breast, liver and lung cancers.

  1. Supplementary Materials