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Briefings in Bioinformatics Advance Access originally published online on September 27, 2008
Briefings in Bioinformatics 2008 9(6):479-492; doi:10.1093/bib/bbn035
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© The Author 2008. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

This article appears in the following Briefings in Bioinformatics issue: Special Issue:Database Integration in Life Sciences [View the issue table of contents]

Literature mining in support of drug discovery

Pankaj Agarwal and David B. Searls

Corresponding author. Dr Pankaj Agarwal, GlaxoSmithKline R&D, 709 Swedeland Road, UW2230, King of Prussia, PA 19406. Tel: (610) 270 5910; Fax: (610) 270 5580; E-mail: Pankaj.Agarwal{at}gsk.com

The drug discovery enterprise provides strong drivers for data integration. While attention in this arena has tended to focus on integration of primary data from omics and other large platform technologies contributing to drug discovery and development, the scientific literature remains a major source of information valuable to pharmaceutical enterprises, and therefore tools for mining such data and integrating it with other sources are of vital interest and economic impact. This review provides a brief overview of approaches to literature mining as they relate to drug discovery, and offers an illustrative case study of a ‘lightweight’ approach we have implemented within an industrial context.

Keywords: bibliomics, drug discovery, PubMed, biomedical text mining, MeSH

Submitted: May 7, 2008. Received (in revised form): July 31, 2008.


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