Journal
BIOINFORMATICS
Volume 23, Issue 23, Pages 3232-3240Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btm495
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Funding
- NHGRI NIH HHS [P41 HG001315-16, P41HG02273, 2P41HG001315, P41 HG001315, R43 HG003600, P41 HG002273, P41 HG002273-11] Funding Source: Medline
- NLM NIH HHS [R03 LM009752] Funding Source: Medline
- PHS HHS [R43CAHG003600-01] Funding Source: Medline
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Motivation: The rate at which gene-related findings appear in the scientific literature makes it difficult if not impossible for biomedical scientists to keep fully informed and up to date. The importance of these findings argues for the development of automated methods that can find, extract and summarize this information. This article reports on methods for determining the molecular function claims that are being made in a scientific article, specifically those that are backed by experimental evidence. Results: The most significant result is that for molecular function claims based on direct assays, our methods achieved recall of 70.7 and precision of 65.7. Furthermore, our methods correctly identified in the text 44.6 of the specific molecular function claims backed up by direct assays, but with a precision of only 0.92, a disappointing outcome that led to an examination of the different kinds of errors. These results were based on an analysis of 1823 articles from the literature of Saccharomyces cerevisiae (budding yeast).
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