Literature DB >> 26528561

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

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

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.

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Year:  2015        PMID: 26528561     DOI: 10.2390/biecoll-jib-2015-263

Source DB:  PubMed          Journal:  J Integr Bioinform        ISSN: 1613-4516


  15 in total

1.  Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.

Authors:  Natalie J Stanford; Martin Scharm; Paul D Dobson; Martin Golebiewski; Michael Hucka; Varun B Kothamachu; David Nickerson; Stuart Owen; Jürgen Pahle; Ulrike Wittig; Dagmar Waltemath; Carole Goble; Pedro Mendes; Jacky Snoep
Journal:  Methods Mol Biol       Date:  2019

2.  PathwayAccess: CellDesigner plugins for pathway databases.

Authors:  John L Van Hemert; Julie A Dickerson
Journal:  Bioinformatics       Date:  2010-07-20       Impact factor: 6.937

3.  Visual analysis of transcriptome data in the context of anatomical structures and biological networks.

Authors:  Astrid Junker; Hendrik Rohn; Falk Schreiber
Journal:  Front Plant Sci       Date:  2012-11-15       Impact factor: 5.753

4.  Conversion of KEGG metabolic pathways to SBGN maps including automatic layout.

Authors:  Tobias Czauderna; Michael Wybrow; Kim Marriott; Falk Schreiber
Journal:  BMC Bioinformatics       Date:  2013-08-16       Impact factor: 3.169

5.  Translation of SBGN maps: Process Description to Activity Flow.

Authors:  Torsten Vogt; Tobias Czauderna; Falk Schreiber
Journal:  BMC Syst Biol       Date:  2013-10-31

6.  Integrative analysis of metabolic models - from structure to dynamics.

Authors:  Anja Hartmann; Falk Schreiber
Journal:  Front Bioeng Biotechnol       Date:  2015-01-26

7.  OFFl Models: Novel Schema for Dynamical Modeling of Biological Systems.

Authors:  C Brandon Ogbunugafor; Sean P Robinson
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

8.  Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2016.

Authors:  Falk Schreiber; Gary D Bader; Padraig Gleeson; Martin Golebiewski; Michael Hucka; Nicolas Le Novère; Chris Myers; David Nickerson; Björn Sommer; Dagmar Walthemath
Journal:  J Integr Bioinform       Date:  2016-12-18

9.  Quick tips for creating effective and impactful biological pathways using the Systems Biology Graphical Notation.

Authors:  Vasundra Touré; Nicolas Le Novère; Dagmar Waltemath; Olaf Wolkenhauer
Journal:  PLoS Comput Biol       Date:  2018-02-15       Impact factor: 4.475

Review 10.  Metabolomics, Standards, and Metabolic Modeling for Synthetic Biology in Plants.

Authors:  Camilla Beate Hill; Tobias Czauderna; Matthias Klapperstück; Ute Roessner; Falk Schreiber
Journal:  Front Bioeng Biotechnol       Date:  2015-10-21
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