The Community for Technology Leaders
Digital Libraries, Joint Conference on (2003)
Houston, Texas USA
May 27, 2003 to May 31, 2003
ISBN: 0-7695-1939-3
pp: 113
Yueyu Fu , Indiana University
Javed Mostafa , Indiana University
Kazuhiro Seki , Indiana University
Protein association discovery can directly contribute toward developing protein pathways; hence it is a significant problem in bioinformatics. LUCAS (Library of User-Oriented Concepts for Access Services) was designed to automatically extract and determine associations among proteins from biomedical literature. Such a tool has notable potential to automate database construction in biomedicine, instead of relying on experts? analysis. This paper reports on the mechanisms for automatically generating clusters of proteins. A formal evaluation of the system, based on a subset of 2000 MEDLINE titles and abstracts, has been conducted against Swiss-Prot database in which the associations among concepts are entered by experts manually.

Y. Fu, J. Mostafa and K. Seki, "Protein Association Discovery in Biomedical Literature," Digital Libraries, Joint Conference on(JCDL), Houston, Texas USA, 2003, pp. 113.
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