Publikation: Systems Biology Graphical Notation : Entity Relationship language Level 1 Version 2
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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 Entity Relationship language (ER) represents biological entities and their interactions and relationships within a network. SBGN ER focuses on all potential relationships between entities without considering temporal aspects. The nodes (elements) describe biological entities, such as proteins and complexes. The edges (connections) provide descriptions of interactions and relationships (or influences), e.g., complex formation, stimulation and inhibition. Among all three languages of SBGN, ER is the closest to protein interaction networks in biological literature and textbooks, but its well-defined semantics offer a superior precision in expressing biological knowledge.
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SOROKIN, Anatoly, Nicolas LE NOVÈRE, Augustin LUNA, Tobias CZAUDERNA, Emek DEMIR, Robin HAW, Huaiyu MI, Stuart MOODIE, Falk SCHREIBER, Alice VILLÉGER, 2015. Systems Biology Graphical Notation : Entity Relationship language Level 1 Version 2. In: Journal of integrative bioinformatics (JIB). 2015, 12(2), 264. eISSN 1613-4516. Verfügbar unter: doi: 10.2390/biecoll-jib-2015-264BibTex
@article{Sorokin2015-09-04Syste-38242, year={2015}, doi={10.2390/biecoll-jib-2015-264}, title={Systems Biology Graphical Notation : Entity Relationship language Level 1 Version 2}, number={2}, volume={12}, journal={Journal of integrative bioinformatics (JIB)}, author={Sorokin, Anatoly and Le Novère, Nicolas and Luna, Augustin and Czauderna, Tobias and Demir, Emek and Haw, Robin and Mi, Huaiyu and Moodie, Stuart and Schreiber, Falk and Villéger, Alice}, note={Article Number: 264} }
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