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

Author(s):  
Nicolas Le Novere ◽  
Emek Demir ◽  
Huaiyu Mi ◽  
Stuart Moodie ◽  
Alice Villeger
Author(s):  
Nicolas Le Novere ◽  
Nicolas Le Novere ◽  
Emek Demir ◽  
Huaiyu Mi ◽  
Stuart Moodie ◽  
...  

2010 ◽  
Author(s):  
Nicolas Le Novère ◽  
Stuart Moodie ◽  
Anatoly Sorokin ◽  
Falk Schreiber ◽  
Huaiyu Mi

Author(s):  
Stuart Moodie ◽  
Nicolas Le Novere ◽  
Emek Demir ◽  
Huaiyu Mi ◽  
Falk Schreiber

Author(s):  
Stuart Moodie ◽  
Nicolas Le Novere ◽  
Emek Demir ◽  
Huaiyu Mi ◽  
Alice Villeger

2009 ◽  
Author(s):  
Stuart Moodie ◽  
Stuart Moodie ◽  
Nicolas Le Novere ◽  
Anatoly Sorokin ◽  
Huaiyu Mi ◽  
...  

Author(s):  
Huaiyu Mi ◽  
Falk Schreiber ◽  
Nicolas Le Novére ◽  
Stuart Moodie ◽  
Anatoly Sorokin

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Adrien Rougny ◽  
Vasundra Touré ◽  
Stuart Moodie ◽  
Irina Balaur ◽  
Tobias Czauderna ◽  
...  

AbstractThe Systems Biology Graphical Notation (SBGN) is an international community effort that aims to standardise the visualisation of pathways and networks for readers with diverse scientific backgrounds as well as to support an efficient and accurate exchange of biological knowledge between disparate research communities, industry, and other players in systems biology. SBGN comprises the three languages Entity Relationship, Activity Flow, and Process Description (PD) to cover biological and biochemical systems at distinct levels of detail. PD is closest to metabolic and regulatory pathways found in biological literature and textbooks. Its well-defined semantics offer a superior precision in expressing biological knowledge. PD represents mechanistic and temporal dependencies of biological interactions and transformations as a graph. Its different types of nodes include entity pools (e.g. metabolites, proteins, genes and complexes) and processes (e.g. reactions, associations and influences). The edges describe relationships between the nodes (e.g. consumption, production, stimulation and inhibition). This document details Level 1 Version 2.0 of the PD specification, including several improvements, in particular: 1) the addition of the equivalence operator, subunit, and annotation glyphs, 2) modification to the usage of submaps, and 3) updates to clarify the use of various glyphs (i.e. multimer, empty set, and state variable).


Author(s):  
Stuart Moodie ◽  
Nicolas Le Novere ◽  
Anatoly Sorokin ◽  
Huaiyu Mi ◽  
Falk Schreiber

Author(s):  
Stuart Moodie ◽  
Nicolas Le Novere ◽  
Emek Demir ◽  
Huaiyu Mi ◽  
Falk Schreiber

2015 ◽  
Vol 12 (2) ◽  
pp. 340-381 ◽  
Author(s):  
Huaiyu Mi ◽  
Falk Schreiber ◽  
Stuart Moodie ◽  
Tobias Czauderna ◽  
Emek Demir ◽  
...  

Summary 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 Activity Flow language represents the influences of activities among various entities within a network. Unlike SBGN PD and ER that focus on the entities and their relationships with others, SBGN AF puts the emphasis on the functions (or activities) performed by the entities, and their effects to the functions of the same or other entities. The nodes (elements) describe the biological activities of the entities, such as protein kinase activity, binding activity or receptor activity, which can be easily mapped to Gene Ontology molecular function terms. The edges (connections) provide descriptions of relationships (or influences) between the activities, e.g., positive influence and negative influence. Among all three languages of SBGN, AF is the closest to signaling pathways in biological literature and textbooks, but its well-defined semantics offer a superior precision in expressing biological knowledge.


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