Automatic extraction of biological information from scientific text: protein-protein interactions. Export

@article{citeulike:486808, abstract = {We describe the basic design of a system for automatic detection of protein-protein interactions extracted from scientific abstracts. By restricting the problem domain and imposing a number of strong assumptions which include pre-specified protein names and a limited set of verbs that represent actions, we show that it is possible to perform accurate information extraction. The performance of the system is evaluated with different cases of real-world interaction networks, including the Drosophila cell cycle control. The results obtained computationally are in good agreement with current biological knowledge and demonstrate the feasibility of developing a fully automated system able to describe networks of protein interactions with sufficient accuracy.}, address = {Protein Design Group, CNB-CSIC, Madrid, Spain.}, author = {Blaschke, C. and Andrade, M. A. and Ouzounis, C. and Valencia, A.}, citeulike-article-id = {486808}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/10786287}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=10786287}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/cgi/content/full/21/7/1227}, issn = {1553-0833}, journal = {Proc Int Conf Intell Syst Mol Biol}, keywords = {corpus, hlj-refactoring, relation-extraction}, pages = {60--67}, posted-at = {2006-05-24 05:46:37}, priority = {0}, title = {Automatic extraction of biological information from scientific text: protein-protein interactions.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/10786287}, year = {1999} }

TY - JOUR ID - citeulike:486808 L3 - citeulike-article-id:486808 N2 - We describe the basic design of a system for automatic detection of protein-protein interactions extracted from scientific abstracts. By restricting the problem domain and imposing a number of strong assumptions which include pre-specified protein names and a limited set of verbs that represent actions, we show that it is possible to perform accurate information extraction. The performance of the system is evaluated with different cases of real-world interaction networks, including the Drosophila cell cycle control. The results obtained computationally are in good agreement with current biological knowledge and demonstrate the feasibility of developing a fully automated system able to describe networks of protein interactions with sufficient accuracy. JF - Proc Int Conf Intell Syst Mol Biol SN - 1553-0833 AD - Protein Design Group, CNB-CSIC, Madrid, Spain. EP - 67 TI - Automatic extraction of biological information from scientific text: protein-protein interactions. SP - 60 KW - corpus KW - hlj-refactoring KW - relation-extraction AU - Blaschke, C AU - Andrade, MA AU - Ouzounis, C AU - Valencia, A PY - 1999/// UR - http://view.ncbi.nlm.nih.gov/pubmed/10786287 ER -