Title
Systems Biology Graphical Notation : process Description language Level 1 Version 2.0
Abstract
The 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).
Year
DOI
Venue
2019
10.1515/jib-2019-0022
JOURNAL OF INTEGRATIVE BIOINFORMATICS
Keywords
Field
DocType
biological network,circuit diagram,SBGN,standard,systems biology,visualisation
Data mining,Programming language,Computer science,Visualization,Biological network,Process description,Systems biology,Systems Biology Graphical Notation,Circuit diagram
Journal
Volume
Issue
Citations 
16
SP2
0
PageRank 
References 
Authors
0.34
0
17
Name
Order
Citations
PageRank
Adrien Rougny100.68
Vasundra Toure212.74
Stuart Moodie351.46
Irina Balaur451.84
Tobias Czauderna516715.54
Hanna Borlinghaus600.34
Ugur Dogrusoz721320.36
Alexander Mazein8185.32
Andreas Dräger929222.16
Michael L. Blinov1019318.13
Alice Villéger11684.84
Robin Haw1231516.90
Emek Demir1338425.59
Huaiyu Mi1449337.89
Anatoly Sorokin15367.08
Falk Schreiber16104880.87
Augustin Luna17577.87