Kinase Pathway Database: An Integrated Protein-Kinase and NLP-Based Protein-Interaction Resource

  1. Asako Koike1,2,4,5,
  2. Yoshiyuki Kobayashi1,3,4, and
  3. Toshihisa Takagi1
  1. 1 Human Genome Center, Institute of Medical Science, University of Tokyo, Shirokane-dai, Minato-Ku, Tokyo 108-8639, Japan
  2. 2 Central Research Laboratory, Hitachi, Ltd., Higashi-Koigakubo, Kokubunji-shi, Tokyo 185-8601, Japan
  3. 3 Life Science Group, Hitachi, Ltd., Minamidai, Kawagoe-shi, Saitama, 350-1165, Japan

Abstract

Protein kinases play a crucial role in the regulation of cellular functions. Various kinds of information about these molecules are important for understanding signaling pathways and organism characteristics. We have developed the Kinase Pathway Database, an integrated database involving major completely sequenced eukaryotes. It contains the classification of protein kinases and their functional conservation, ortholog tables among species, protein–protein, protein–gene, and protein–compound interaction data, domain information, and structural information. It also provides an automatic pathway graphic image interface. The protein, gene, and compound interactions are automatically extracted from abstracts for all genes and proteins by natural-language processing (NLP).The method of automatic extraction uses phrase patterns and the GENA protein, gene, and compound name dictionary, which was developed by our group. With this database, pathways are easily compared among species using data with more than 47,000 protein interactions and protein kinase ortholog tables. The database is available for querying and browsing at http://kinasedb.ontology.ims.u-tokyo.ac.jp/.

Footnotes

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.835903.

  • 4 These authors contributed equally to this work.

  • 5 Corresponding author. E-MAIL akoike{at}ims.u-tokyo.ac.jp; FAX 81-3-5449-5434.

    • Accepted March 26, 2003.
    • Received September 24, 2002.
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