Mining molecular binding terminology from biomedical text
Automatic access to information regarding macromolecular binding relationships would provide a valuable resource to the biomedical community. We report on a pilot project to mine such information from the molecular biology literature. The program being developed takes advantage of natural language p...
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| Veröffentlicht in: | Proceedings - AMIA Symposium 1999, p.127-131 |
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| container_title | Proceedings - AMIA Symposium |
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| creator | Rindflesch, T C Hunter, L Aronson, A R |
| description | Automatic access to information regarding macromolecular binding relationships would provide a valuable resource to the biomedical community. We report on a pilot project to mine such information from the molecular biology literature. The program being developed takes advantage of natural language processing techniques and is supported by two repositories of biomolecular knowledge. A formative evaluation has been conducted on a subset of MEDLINE abstracts. |
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| fulltext | fulltext |
| identifier | ISSN: 1531-605X |
| ispartof | Proceedings - AMIA Symposium, 1999, p.127-131 |
| issn | 1531-605X |
| language | eng |
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| source | MEDLINE; PubMed Central |
| subjects | Algorithms DNA-Binding Proteins - metabolism Gene Library Information Storage and Retrieval - methods MEDLINE Molecular Biology Natural Language Processing Pilot Projects Protein Binding Terminology as Topic Unified Medical Language System |
| title | Mining molecular binding terminology from biomedical text |
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