Rania A. Abul Seoud and Nahed H. Solouma and Abou-Baker M. Youssef and Yasser M. Kadah
PIELG A Protein Interaction Extraction Systemusing a Link Grammar Parser from Biomedical Abstracts
282 - 292
2007
1
5
International Journal of Biomedical and Biological Engineering
https://publications.waset.org/pdf/4889
https://publications.waset.org/vol/5
World Academy of Science, Engineering and Technology
Due to the ever growing amount of publications about
proteinprotein 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 phrasalprepositional verbs patterns to overcome
preposition combinations problems. The recall and precision are
74.4 and 62.65, respectively. Experimental evaluations with two
other stateoftheart 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.
Open Science Index 5, 2007