Edinburgh Research Explorer

The Systems Biology Graphical Notation

Research output: Contribution to journalArticle

  • N. Le Novere
  • M. Hucka
  • H. Y. Mi
  • S. Moodie
  • F. Schreiber
  • E. Demir
  • K. Wegner
  • M. I. Aladjem
  • S. M. Wimalaratne
  • F. T. Bergman
  • R. Gauges
  • H. Kawaji
  • Lu Li
  • Y. Matsuoka
  • A. Villeger
  • S. E. Boyd
  • L. Calzone
  • M. Courtot
  • U. Dogrusoz
  • A. Funahashi
  • S. Ghosh
  • A. Jouraku
  • S. Kim
  • F. Kolpakov
  • A. Luna
  • S. Sahle
  • E. Schmidt
  • G. M. Wu
  • D. B. Kell
  • C. Sander
  • H. Sauro
  • J. L. Snoep
  • K. Kohn
  • H. Kitano

Related Edinburgh Organisations

Original languageEnglish
Pages (from-to)735-741
Number of pages7
JournalNature Biotechnology
Issue number8
Publication statusPublished - Aug 2009


Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling.

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