A pathway finding system for the cell signaling networks database.

T. Takai-Igarashi, T. Kaminuma

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)


We report on a knowledge-based pathway-finding system that builds on the cell-signaling networks database, CSNDB, which we developed previously. This new system, PaF-CSNDB, uses a general inference engine to apply rules for finding and coupling pathways between or around specific biomolecules from the CSNDB database. We show how PaF-CSNDB finds relationships in a large but fragmented collection of cell-signaling knowledge by filtering out and composing together those sections of pathways specified from an extensive and complex set of binary or pair-wise cell-signaling reactions.

Original languageEnglish
Pages (from-to)129-146
Number of pages18
JournalIn silico biology
Issue number3
Publication statusPublished - 1999

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Computational Mathematics
  • Computational Theory and Mathematics


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