LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships

Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointeractions). Such bioentities are often related to biological concepts of interest that are specific of a determined research field. Therefore, the study of the current literature about a selected topic deposited in public databases, facilitates the generation of novel hypotheses associating a set of bioentities to a common context. Results: We created a text mining system (LAITOR: Literature Assistant for Identification of Terms co-Occurrences and Relationships) that analyses co-occurrences of bioentities, biointeractions, and other biological terms in MEDLINE s. The method accounts for the position of the co-occurring terms within sentences or abstracts. The etected abstracts mentioning protein-protein interactions in a standard test (BioCreative II IAS test data) with a precision of 0.82-0.89 and a recall of...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan L. F. Magalhães, Georgios A. Pavlopoulos, Jean-Fred Fontaine, Miguel A. Andrade-Navarro, Reinhard Schneider, J. Miguel Ortega
• Keywords: Biological, Biological Concepts, BMCBI 2010, Text Mining