Knowledge representation of signal transduction pathways | Zendy

Ken Fukuda | Zendy; Toshihisa Takagi | Zendy

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Knowledge representation of signal transduction pathways

Author(s) -

Ken Fukuda,

Toshihisa Takagi

Publication year - 2001

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/17.9.829

Subject(s) - signal transduction , computer science , knowledge base , representation (politics) , transduction (biophysics) , signal (programming language) , computational biology , artificial intelligence , biology , programming language , microbiology and biotechnology , biochemistry , politics , political science , law

Signal transduction is the common term used to define a diverse topic that encompasses a large body of knowledge about the biochemical mechanisms. Since most of the knowledge of signal transduction resides in scientific articles and is represented by texts in natural language or by diagrams, there is the need of a knowledge representation model for signal transduction pathways that can be as readily processed by a computer as it is easily understood by humans.

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