Mining chemical structural information from the drug literature
| Autor: | Debra L. Banville |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Pharmacology
Focus (computing) Databases Factual Molecular Structure business.industry media_common.quotation_subject Chemistry Pharmaceutical Information Storage and Retrieval computer.software_genre Data science Surprise Documentation Pharmaceutical technology Pharmaceutical Preparations Drug Discovery Data mining Chemistry (relationship) Periodicals as Topic business computer media_common Pharmaceutical industry |
| Zdroj: | Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery |
| ISSN: | 1359-6446 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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