NDLI: A new method for computational drug repositioning using drug pairwise similarity

Content Provider	IEEE Xplore Digital Library
Author	Jiao Li Zhiyong Lu
Copyright Year	2012
Description	Author affiliation: National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH), Bethesda, USA (Jiao Li; Zhiyong Lu)
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) and compared favorably to the state of the art. When compared with a control group of drug uses, our drug repositioning results were found to be significantly enriched in both the biomedicai literature and clinical trials. Our results indicate that combining chemical structure and drug target information results in better prediction performance and that the proposed approach successfully captures the implicit information between drug targets.
Starting Page	1
Ending Page	4
File Size	1670461
Page Count	4
File Format	PDF
ISBN	9781467325592
e-ISBN	9781467325608
e-ISBN	9781467325585
DOI	10.1109/BIBM.2012.6392722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Proteins target interaction Sensitivity Clinical trials target similarity Bipartite graph drug repositioning bipartite graph Chemicals Diseases chemical similarity
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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