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Systems Biology Graphical Notation: Entity Relationship language Level 1 (Version 1.2)
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Systems Biology Graphical Notation: Entity Relationship language Level 1 (Version 1.2)

  • Nicolas Le Novere1,
  • Emek Demir2,
  • Huaiyu Mi3,
  • Stuart Moodie4 &
  • …
  • Alice Villeger5 

Nature Precedings (2011)Cite this article

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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 Descriptions, the Entity Relationships and the Activity Flows. 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 current document presents version 1.2 of the first level of the SBGN Entity Relationship language. Shared by the communities of biochemists, genomicians, theoreticians and computational biologists, SBGN languages will foster efficient storage, exchange and reuse of information on signaling pathways, metabolic networks and gene regulatory maps.

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Authors and Affiliations

  1. EMBL-EBI, UK

    Nicolas Le Novere

  2. Memorial Sloan-Kettering Institute, USA

    Emek Demir

  3. University of Southern California, USA

    Huaiyu Mi

  4. School of Informatics, University of Edinburgh, UK

    Stuart Moodie

  5. Manchester Centre for Integrative Systems Biology, UK

    Alice Villeger

Authors
  1. Nicolas Le Novere
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  2. Emek Demir
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  3. Huaiyu Mi
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  4. Stuart Moodie
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  5. Alice Villeger
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Corresponding author

Correspondence to Nicolas Le Novere.

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Le Novere, N., Demir, E., Mi, H. et al. Systems Biology Graphical Notation: Entity Relationship language Level 1 (Version 1.2). Nat Prec (2011). https://doi.org/10.1038/npre.2011.5902.1

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  • Received: 14 April 2011

  • Accepted: 14 April 2011

  • Published: 14 April 2011

  • DOI: https://doi.org/10.1038/npre.2011.5902.1

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Keywords

  • systems biology
  • pathways
  • graphs
  • networks
  • SBGN
  • standards paper
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