A New Method for Computational Drug Repositioning Using Drug Pairwise Similarity.

ABSTRACT: The traditional de novo drug discovery is known as a high cost and high risk process. In response, recently there is an increasing interest in discovering new indications for known drugs-a process known as drug repositioning-using computational methods. In this study, we present a new systematic approach for identifying potential new indications of an existing drug through its relation to similar drugs. Different from the previous similarity-based methods, we adapted a novel bipartite-graph based method when considering common drug targets and their interaction information. Furthermore, we added drug structure information into the calculation of drug pairwise similarity. In cross-validation experiments, our method achieved a sensitivity of 0.77 and specificity of 0.92 (AUC = 0.888)

SUBMITTER: Li J 

PROVIDER: S-EPMC4175719 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature