Measuring prediction capacity of individual verbs for the identification of protein interactions
Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Miguel Arregui, Harald Kirsch
Journal of Biomedical Informatics | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2010
MOTIVATION: The identification of events such as protein-protein interactions (PPIs) from the scientific literature is a complex task. One of the reasons is that there is no formal syntax to denote such relations in the scientific literature. Nonetheless, it is important to understand such relational event representations to improve information extraction solutions (e.g., for gene regulatory events). In this study, we analyze publicly available protein interaction corpora (AIMed, BioInfer, BioCreAtIve II) to determine the scope of verbs used to denote protein interactions and to measure their predictive capacity for the identification of PPI events. Our analysis is based on syntactical langu..View full abstract
Awarded by EC STREP
Awarded by NoE
This research was sponsored by the EC STREP project "BOOTStrep" (FP6-028099, www.bootstrep.org) including the development of the term repository (the pre-stage to the BioLexicon). Whatizit has been funded by the NoE "Semantic Mining" (NoE 507505).