Can literature analysis identify innovation drivers in drug discovery?

被引:78
作者
Agarwal, Pankaj [1 ]
Searls, David B. [1 ]
机构
[1] GlaxoSmithKline, Computat Biol Dept, King Of Prussia, PA 19406 USA
关键词
NETWORKS; IMPACT; ANTIBIOTICS; PUBLICATION; THERAPIES; SCIENCE; TRENDS; FIELD;
D O I
10.1038/nrd2973
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Drug discovery must be guided not only by medical need and commercial potential, but also by the areas in which new science is creating therapeutic opportunities, such as target identification and the understanding of disease mechanisms. To systematically identify such areas of high scientific activity, we use bibliometrics and related data-mining methods to analyse over half a terabyte of data, including PubMed abstracts, literature citation data and patent filings. These analyses reveal trends in scientific activity related to disease studied at varying levels, down to individual genes and pathways, and provide methods to monitor areas in which scientific advances are likely to create new therapeutic opportunities.
引用
收藏
页码:865 / 878
页数:14
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