| Literature DB >> 16478689 |
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.Mesh:
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Year: 2006 PMID: 16478689 DOI: 10.1016/S1359-6446(05)03682-2
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851