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

Author:

Moodie Stuart1,Le Novère Nicolas2,Demir Emek3,Mi Huaiyu4,Villéger Alice5

Affiliation:

1. 1Eight Pillars Ltd, and University of Edinburgh, Edinburgh, United Kingdom of Great Britain and Northern Ireland

2. 2Babraham Institute, and EMBL European Bioinformatics Institute, Cambridge, United Kingdom of Great Britain and Northern Ireland

3. 3Sloan-Kettering Institute, New York City, United States of America

4. 4University of Southern California, Los Angeles, United States of America

5. 5Freelance IT Consultant, and University of Manchester, Manchester, United Kingdom of Great Britain and Northern Ireland

Abstract

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 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.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference1 articles.

1. for the Visualization of New Jersey and Models volume of Notes in Tutorial;Di Battista;Graph Drawing Algorithms Graphs Drawing Graphs Methods Lecture Computer Science,1998

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