TY - JFULL AU - Rania A. Abul Seoud and Nahed H. Solouma and Abou-Baker M. Youssef and Yasser M. Kadah PY - 2007/6/ TI - PIELG: A Protein Interaction Extraction Systemusing a Link Grammar Parser from Biomedical Abstracts T2 - International Journal of Biomedical and Biological Engineering SP - 281 EP - 292 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/4889 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 5, 2007 N2 - 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. ER -