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Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0

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 re...

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Autores principales: Rougny, Adrien, Touré, Vasundra, Moodie, Stuart, Balaur, Irina, Czauderna, Tobias, Borlinghaus, Hanna, Dogrusoz, Ugur, Mazein, Alexander, Dräger, Andreas, Blinov, Michael L., Villéger, Alice, Haw, Robin, Demir, Emek, Mi, Huaiyu, Sorokin, Anatoly, Schreiber, Falk, Luna, Augustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798820/
https://www.ncbi.nlm.nih.gov/pubmed/31199769
http://dx.doi.org/10.1515/jib-2019-0022
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author Rougny, Adrien
Touré, Vasundra
Moodie, Stuart
Balaur, Irina
Czauderna, Tobias
Borlinghaus, Hanna
Dogrusoz, Ugur
Mazein, Alexander
Dräger, Andreas
Blinov, Michael L.
Villéger, Alice
Haw, Robin
Demir, Emek
Mi, Huaiyu
Sorokin, Anatoly
Schreiber, Falk
Luna, Augustin
author_facet Rougny, Adrien
Touré, Vasundra
Moodie, Stuart
Balaur, Irina
Czauderna, Tobias
Borlinghaus, Hanna
Dogrusoz, Ugur
Mazein, Alexander
Dräger, Andreas
Blinov, Michael L.
Villéger, Alice
Haw, Robin
Demir, Emek
Mi, Huaiyu
Sorokin, Anatoly
Schreiber, Falk
Luna, Augustin
author_sort Rougny, Adrien
collection PubMed
description 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).
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spelling pubmed-67988202019-10-28 Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0 Rougny, Adrien Touré, Vasundra Moodie, Stuart Balaur, Irina Czauderna, Tobias Borlinghaus, Hanna Dogrusoz, Ugur Mazein, Alexander Dräger, Andreas Blinov, Michael L. Villéger, Alice Haw, Robin Demir, Emek Mi, Huaiyu Sorokin, Anatoly Schreiber, Falk Luna, Augustin J Integr Bioinform Research Articles 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). De Gruyter 2019-06-13 /pmc/articles/PMC6798820/ /pubmed/31199769 http://dx.doi.org/10.1515/jib-2019-0022 Text en © 2019, Adrien Rougny et al., published by Walter de Gruyter GmbH, Berlin/Boston http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 Public License.
spellingShingle Research Articles
Rougny, Adrien
Touré, Vasundra
Moodie, Stuart
Balaur, Irina
Czauderna, Tobias
Borlinghaus, Hanna
Dogrusoz, Ugur
Mazein, Alexander
Dräger, Andreas
Blinov, Michael L.
Villéger, Alice
Haw, Robin
Demir, Emek
Mi, Huaiyu
Sorokin, Anatoly
Schreiber, Falk
Luna, Augustin
Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title_full Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title_fullStr Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title_full_unstemmed Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title_short Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
title_sort systems biology graphical notation: process description language level 1 version 2.0
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798820/
https://www.ncbi.nlm.nih.gov/pubmed/31199769
http://dx.doi.org/10.1515/jib-2019-0022
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