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Systems Biology Graphical Notation: Process Diagram Level 1
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  • Published: 23 September 2008

Systems Biology Graphical Notation: Process Diagram Level 1

  • Nicolas Le Novere1,
  • Stuart Moodie2,
  • Anatoly Sorokin3,
  • Michael Hucka4,
  • Falk Schreiber5,
  • Emek Demir6,
  • Huaiyu Mi7,
  • Yukiko Matsuoka8,
  • Katja Wegner9 &
  • …
  • Hiroaki Kitano8 

Nature Precedings (2008)Cite this article

  • 595 Accesses

  • 8 Citations

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Abstract

Standard graphical representations have played a crucial role in science and engineering throughout the last century. Without electrical symbolism, it is very likely that our industrial society would not have evolved at the same pace. Similarly, specialised notations such as the Feynmann notation or the process flow diagrams did a lot for the adoption of concepts in their own fields. With the advent of Systems Biology, and more recently of Synthetic Biology, the need for precise and unambiguous descriptions of biochemical interactions has become more pressing. While some ideas have been advanced over the last decade, with a few detailed proposals, no actual community standard has emerged. The Systems Biology Graphical Notation (SBGN) is a graphical representation crafted over several years by a community of biochemists, modellers and computer scientists. Three orthogonal and complementary languages have been created, the Process Diagrams, the Entity Relationship Diagrams and the Activity Flow Diagrams. Using these three idioms a scientist can represent any network of biochemical interactions, which can then be interpreted in an unambiguous way. The set of symbols used is limited, and the grammar quite simple, to allow its usage in textbooks and its teaching directly in high schools. The first level of the SBGN Process Diagram has been publicly released. Software support for SBGN Process Diagram was developed concurrently with its specification in order to speed-up public adoption. Shared by the communities of biochemists, genomicians, theoreticians and computational biologists, SBGN languages will foster efficient storage, exchange and reuse of information on signalling pathways, metabolic networks and gene regulatory maps.

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Authors and Affiliations

  1. EMBL-EBI https://www.nature.com/nature

    Nicolas Le Novere

  2. CSBE, University of Edinburgh https://www.nature.com/nature

    Stuart Moodie

  3. University of Edinburgh https://www.nature.com/nature

    Anatoly Sorokin

  4. California Institute of Technology https://www.nature.com/nature

    Michael Hucka

  5. IPK Gatersleben & MLU Halle https://www.nature.com/nature

    Falk Schreiber

  6. MSKCC Computational Biology Center https://www.nature.com/nature

    Emek Demir

  7. SRI International https://www.nature.com/nature

    Huaiyu Mi

  8. The Systems Biology Institute https://www.nature.com/nature

    Yukiko Matsuoka & Hiroaki Kitano

  9. University of Hertfordshire https://www.nature.com/nature

    Katja Wegner

Authors
  1. Nicolas Le Novere
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  2. Stuart Moodie
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  3. Anatoly Sorokin
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  4. Michael Hucka
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  5. Falk Schreiber
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  6. Emek Demir
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  7. Huaiyu Mi
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  8. Yukiko Matsuoka
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  9. Katja Wegner
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  10. Hiroaki Kitano
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Corresponding author

Correspondence to Nicolas Le Novere.

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Cite this article

Le Novere, N., Moodie, S., Sorokin, A. et al. Systems Biology Graphical Notation: Process Diagram Level 1. Nat Prec (2008). https://doi.org/10.1038/npre.2008.2320.1

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  • Received: 22 September 2008

  • Accepted: 23 September 2008

  • Published: 23 September 2008

  • DOI: https://doi.org/10.1038/npre.2008.2320.1

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Keywords

  • systems biology
  • modeling
  • pathway
  • graph
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