1. Information Extraction from BioMedical Abstracts Dr. Hasan Davulcu Syed Toufeeq Ahmed Deepthi Chidambaram

2. Information Extraction from BioMedical Abstracts : Motivation Researchers in Biology and Medical Science spend a large amount of time scanning the literature to get information. PubMed/Medline (has around 12 million biomedical abstracts) is a tremendous source of biomedical knowledge in text form. An automated system to extract the information would be very useful.

3. Information Extraction : Goal “HMBA could inhibit the MEC-1 cell proliferation by down-regulation of PCNA expression.” { “HMBA”, “inhibit”, “the MEC-1 cell proliferation” } {“HMBA”, “down-regulation”, “PCNA expression”}

4. Extracted Gene/Gene Interactions Complex Sentence Processor (Deepthi) Sentences (Abstracts) Simple Sentences with Linguistic Roles Interaction Extractor (Toufeeq) OVERVIEWOVERVIEW Link Grammar Parser (Toufeeq) Biomedical Ontologies UMLS, GO, LocusLink