Banville DL. "Mining chemical structural information from the drug literature (Review)" Drug Discovery Today, Volume 11, Issues 1-2, January 2006, P.35-42.

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Fri Mar 31 16:03:39 EST 2006


AUTHOR : Debra L. Banville,   debra.banville at astrazeneca.com

TITLE :  Mining chemical structural information from the drug literature
         (Review)

SOURCE:  Drug Discovery Today, Volume 11, Issues 1-2, January 2006, P.35-42.

ADDRESS:  AstraZeneca Pharmaceuticals, 1800 Concord Pike, Wilmington,
          DE 19850, USA

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ABSTRACT:
It is easier to find too many documents on a life science topic than to
find the right information inside these documents. With the application of
text data mining to biological documents, it is no surprise that
researchers are starting to look at applications that mine out chemical
information. The mining of chemical entities – names and structures –
brings with it some unique challenges, which commercial and academic
efforts are beginning to address. Ultimately, life science text data mining
applications need to focus on the marriage of biological and chemical
information.



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