Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications


      Chemical data source: Drug and PubChem chemical substructures relationships


It includes 132,092 associations between 1103 drugs and 881 chemical substructures.

Generated from fingerprints of drugbank1.

      Protein data source: Drug and UniProt target proteins relationships


It includes 3,152 associations between 1007 drugs and 775 target proteins.

Generated from targets of drugbank1.

      Side-effect data source: Drug and SIDER side-effect keywords relationships


It includes 61,102 associations between 888 drugs and 1385 side-effect terms.

Generated from SIDER2.

      Disease-indication data source: Drug and therapeutic indication relationships


It includes 3,250 treatment relationships between 799 drugs and 719 diseases.

Generated from Li and Lu3.


      Highly correlated disease-side-effect associations


It includes 6,706 highly correlated disease-side-effect associations between 719 disease and 1385 side-effects

Visualization Tool:

      Online visualization tool (beta version)



Dydruma: A Dynamic Drug Map for Exploring the Associations Among Drug Therapeutic Indications and Side-Effects [pdf]

Fei Wang, Ping Zhang, Nan Cao, Jianying Hu, Robert Sorrentino

AMIA Workshop on Visual Analytics in Healthcare (VAHC), 2013



1.    Wishart DS, Knox C, Guo AC, Cheng D, Shrivastava S, Tzur D, Gautam B, Hassanali M. DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res. 2008;36(Database Issue):D901-D906.

2.    Kuhn M, Campillos M, Letunic I, Jensen LJ, Bork P. A side effect resource to capture phenotypic effects of drugs. Molecular Systems Biology 2010;6:343.

3.    Li J, Lu Z. A New Method for Computational Drug Repositioning Using Drug Pairwise Similarity. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine 2012.