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Updated: Oct 5, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
A pathway finding system for the cell signaling networks database
1Division of Chem-Bio Informatics, National Institute of Health Sciences, 1-18-1, Kamiyoga, Setagaya, Tokyo 158, Japan. taka@nihs.go.jp
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.
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