期刊
TRENDS IN BIOTECHNOLOGY
卷 28, 期 7, 页码 381-390出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tibtech.2010.04.005
关键词
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资金
- Biotechnology and Biological Sciences Research Council [BB/E004431/1, BB/G53025X/1]
- National Centre for Text Mining, University of Manchester
- BBSRC [BB/E016065/1, BB/G53025X/1, BB/G013160/1, BB/E004431/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/E004431/1, BB/E016065/1, BB/G53025X/1, BB/G013160/1] Funding Source: researchfish
Systems biology recognizes in particular the importance of interactions between biological components and the consequences of these interactions. Such interactions and their downstream effects are known as events. To computationally mine the literature for such events, text mining methods that can detect, extract and annotate them are required. This review summarizes the methods that are currently available, with a specific focus on protein protein interactions and pathway or network reconstruction. The approaches described will be of considerable value in associating particular pathways and their components with higher-order physiological properties, including disease states.
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