التفاصيل البيبلوغرافية
| العنوان: |
Literature mining in support of drug discovery. |
| المؤلفون: |
Agarwal, Panjaj1 Pankaj.Agarwal@gsk.com, Searls, David B.1 |
| المصدر: |
Briefings in Bioinformatics. Nov2008, Vol. 9 Issue 6, p479-492. 14p. 7 Diagrams. |
| مصطلحات موضوعية: |
*INFORMATION science, DRUG development, PHARMACOLOGY, BIOINFORMATICS, COMPUTERS in biology, COMPUTATIONAL biology |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Briefings in Bioinformatics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Business Source Index |
Full Text Finder