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Systems Biology Graphical Notation: Process Description language Level 1 Version 1.3

Moodie, Stuart ; Le Novère, Nicolas ; Demir, Emek ; Mi, Huaiyu ; Villéger, Alice

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)



Abstract:
The Systems Biological Graphical Notation (SBGN) is an international community effort for standardized graphical representations of biological pathways and networks. The goal of SBGN is to provide unambiguous pathway and network maps for readers with different scientific backgrounds as well as to support efficient and accurate exchange of biological knowledge between different research communities, industry, and other players in systems biology. Three SBGN languages, Process Description (PD), Entity Relationship (ER) and Activity Flow (AF), allow for the representation of different aspects of biological and biochemical systems at different levels of detail. The SBGN Process Description language represents biological entities and processes between these entities within a network. SBGN PD focuses on the mechanistic description and temporal dependencies of biological interactions and transformations. The nodes (elements) are split into entity nodes describing, e.g., metabolites, proteins, genes and complexes, and process nodes describing, e.g., reactions and associations. The edges (connections) provide descriptions of relationships (or influences) between the nodes, such as consumption, production, stimulation and inhibition. Among all three languages of SBGN, PD is the closest to metabolic and regulatory pathways in biological literature and textbooks, but its well-defined semantics offer a superior precision in expressing biological knowledge.


Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Moodie, Stuart ; Le Novère, Nicolas ; Demir, Emek ; Mi, Huaiyu ; Villéger, Alice  (2015)  Systems Biology Graphical Notation: Process Description language Level 1 Version 1.3. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 12(2): Special Issue: Standards in Systems Biology, 2015

Online-Journal: http://journal.imbio.de
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2015/5367



 Fragen und Anregungen an: publikationsdienste.ub@uni-bielefeld.de
 Letzte Änderung: 23.06.2015
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