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PMID: 20570001 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Event extraction for systems biology by text mining the literature.

Trends in biotechnology ·Vol. 28 ·No. 7 ·2010-07-00 ·Pages 381-90

Ananiadou S, Pyysalo S, Tsujii J, Kell DB

Abstract

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.

MeSH Terms
Data Mining Documentation Gene Regulatory Networks Periodicals as Topic Protein Interaction Mapping PubMed Signal Transduction Systems Biology Terminology as Topic
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Ananiadou Sophia
University of Manchester, Manchester M13 9PL, UK. [email protected]
Pyysalo Sampo
Tsujii Jun'ichi
Kell Douglas B
Article Info
Journal
Trends in biotechnology
Abbr.
Trends Biotechnol
ISSN
1879-3096
Published
2010-07-00
Epub
2010-00-01
Pages
381-90
Language
English
Region
England
NLM ID
8310903
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · BB/E016065/1 · United Kingdom
Biotechnology and Biological Sciences Research Council · BB/G013160/1 · United Kingdom
Biotechnology and Biological Sciences Research Council · BB/E004431/1 · United Kingdom
Biotechnology and Biological Sciences Research Council · BB/G53025X/1 · United Kingdom
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