Systems Biology Graphical Notation: Activity Flow language Level 1

Huaiyu Mi¹, Falk Schreiber², Nicolas Le Novére³, Stuart Moodie⁴ & Anatoly Sorokin⁵

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1. SRI International, USA
2. IPK Gatersleben & MLU Halle, Germany
3. EMBL European Bioinformatics Institute, UK
4. CSBE, University of Edinburgh, UK
5. University of Edinburgh, UK

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Document Type:

Manuscript

Date:

Received 05 September 2009 03:20 UTC; Posted 07 September 2009

Subjects:

Bioinformatics

Tags:

• systems biology
• pathway
• network
• SBGN
• Systems Biology Graphical Notation
• interaction
• activity
• modelling

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, specialized 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 ranging from textbooks and teaching in high schools to peer reviewed articles in scientific journals. The first level of the SBGN Activity Flow language has been publicly released. Shared by the communities of biochemists, genomic scientists, 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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This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Mi, Huaiyu, Schreiber, Falk, Le Novére, Nicolas, Moodie, Stuart, and Sorokin, Anatoly. Systems Biology Graphical Notation: Activity Flow language Level 1. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3724.1> (2009)

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