From biomedical literature to knowledge: mining protein-protein interactions

Deyu Zhou, Yulan He, Chee K. Kwoh

Research output: Chapter in Book/Published conference outputOther chapter contribution


To date, more than 16 million citations of published articles in biomedical domain are available in the MEDLINE database. These articles describe the new discoveries which accompany a tremendous development in biomedicine during the last decade. It is crucial for biomedical researchers to retrieve and mine some specific knowledge from the huge quantity of published articles with high efficiency. Researchers have been engaged in the development of text mining tools to find knowledge such as protein-protein interactions, which are most relevant and useful for specific analysis tasks. This chapter provides a road map to the various information extraction methods in biomedical domain, such as protein name recognition and discovery of protein-protein interactions. Disciplines involved in analyzing and processing unstructured-text are summarized. Current work in biomedical information extracting is categorized. Challenges in the field are also presented and possible solutions are discussed.
Original languageEnglish
Title of host publicationComputational intelligence in biomedicine and bioinformatics
Subtitle of host publicationCurrent trends and applications
EditorsTomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien
Number of pages25
ISBN (Electronic)978-3-540-70778-3
ISBN (Print)978-3-540-70776-9
Publication statusPublished - 2008

Publication series

NameStudies in computational intelligence
ISSN (Print)1860-949X


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