Abstract: 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. The system can be
accessed over the World Wide Web (http://goc.nihs.go.jp/csndb.html).
Keywords: cellular signal transduction, knowledge-based expert system shell, pathway representation