NDLI: A computational method for drug repositioning using publicly available gene expression data.

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A computational method for drug repositioning using publicly available gene expression data.

Content Provider	Europe PMC
Author	Shabana, KM Abdul Nazeer, KA Pradhan, Meeta Palakal, Mathew
Copyright Year	2015
Abstract	MotivationThe identification of new therapeutic uses of existing drugs, or drug repositioning, offers the possibility of faster drug development, reduced risk, lesser cost and shorter paths to approval. The advent of high throughput microarray technology has enabled comprehensive monitoring of transcriptional response associated with various disease states and drug treatments. This data can be used to characterize disease and drug effects and thereby give a measure of the association between a given drug and a disease. Several computational methods have been proposed in the literature that make use of publicly available transcriptional data to reposition drugs against diseases.MethodIn this work, we carry out a data mining process using publicly available gene expression data sets associated with a few diseases and drugs, to identify the existing drugs that can be used to treat genes causing lung cancer and breast cancer.ResultsThree strong candidates for repurposing have been identified- Letrozole and GDC-0941 against lung cancer, and Ribavirin against breast cancer. Letrozole and GDC-0941 are drugs currently used in breast cancer treatment and Ribavirin is used in the treatment of Hepatitis C.
Journal	BMC Bioinformatics
Volume Number	16 Suppl 17
PubMed Central reference number	PMC4674855
Issue Number	Suppl 17
PubMed reference number	26679199
e-ISSN	14712105
DOI	10.1186/1471-2105-16-s17-s5
Language	English
Publisher	BioMed Central
Publisher Date	2015-12-07
Access Restriction	Open
Rights License	This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Copyright © 2015 Shabana et al.
Subject Keyword	drug repositioning computational drug discovery gene expression data
Content Type	Text
Resource Type	Article
Subject	Biochemistry Molecular Biology Applied Mathematics Structural Biology Computer Science Applications

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