title: Event extraction for systems biology by text mining the literature.
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.
authors.affiliation: University of Manchester, Manchester M13 9PL, UK. sophia.ananiadou@manchester.ac.uk
authors.forename: Sophia
authors.initials: S
authors.lastname: Ananiadou
authors.forename: Sampo
authors.initials: S
authors.lastname: Pyysalo
authors.forename: Jun'ichi
authors.initials: J
authors.lastname: Tsujii
authors.forename: Douglas B
authors.initials: DB
authors.lastname: Kell
mesh_terms: D057225:Data Mining; D004282:Documentation; D053263:Gene Regulatory Networks; D010506:Periodicals as Topic; D025941:Protein Interaction Mapping; D039781:PubMed; D015398:Signal Transduction; D049490:Systems Biology; D009626:Terminology as Topic