@article{(Open Science Index):https://publications.waset.org/pdf/4889, title = {PIELG: A Protein Interaction Extraction Systemusing a Link Grammar Parser from Biomedical Abstracts}, author = {Rania A. Abul Seoud and Nahed H. Solouma and Abou-Baker M. Youssef and Yasser M. Kadah}, country = {}, institution = {}, abstract = {Due to the ever growing amount of publications about protein-protein interactions, information extraction from text is increasingly recognized as one of crucial technologies in bioinformatics. This paper presents a Protein Interaction Extraction System using a Link Grammar Parser from biomedical abstracts (PIELG). PIELG uses linkage given by the Link Grammar Parser to start a case based analysis of contents of various syntactic roles as well as their linguistically significant and meaningful combinations. The system uses phrasal-prepositional verbs patterns to overcome preposition combinations problems. The recall and precision are 74.4% and 62.65%, respectively. Experimental evaluations with two other state-of-the-art extraction systems indicate that PIELG system achieves better performance. For further evaluation, the system is augmented with a graphical package (Cytoscape) for extracting protein interaction information from sequence databases. The result shows that the performance is remarkably promising.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {1}, number = {5}, year = {2007}, pages = {282 - 292}, ee = {https://publications.waset.org/pdf/4889}, url = {https://publications.waset.org/vol/5}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 5, 2007}, }