Literature DB >> 33758926

SBGN Bricks Ontology as a tool to describe recurring concepts in molecular networks.

Adrien Rougny1,2,3, Vasundra Touré4, John Albanese5, Dagmar Waltemath6, Denis Shirshov7,8, Anatoly Sorokin8,9,10, Gary D Bader2, Michael L Blinov5,2, Alexander Mazein7,8.   

Abstract

A comprehensible representation of a molecular network is key to communicating and understanding scientific results in systems biology. The Systems Biology Graphical Notation (SBGN) has emerged as the main standard to represent such networks graphically. It has been implemented by different software tools, and is now largely used to communicate maps in scientific publications. However, learning the standard, and using it to build large maps, can be tedious. Moreover, SBGN maps are not grounded on a formal semantic layer and therefore do not enable formal analysis. Here, we introduce a new set of patterns representing recurring concepts encountered in molecular networks, called SBGN bricks. The bricks are structured in a new ontology, the Bricks Ontology (BKO), to define clear semantics for each of the biological concepts they represent. We show the usefulness of the bricks and BKO for both the template-based construction and the semantic annotation of molecular networks. The SBGN bricks and BKO can be freely explored and downloaded at sbgnbricks.org.
© The Author(s) 2021. Published by Oxford University Press.

Entities:  

Keywords:  Systems Biology Graphical Notation (SBGN); annotation; molecular network; ontology; template-based construction; visualisation

Year:  2021        PMID: 33758926     DOI: 10.1093/bib/bbab049

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  1 in total

1.  Design considerations for representing systems biology information with the Systems Biology Graphical Notation.

Authors:  Falk Schreiber; Tobias Czauderna
Journal:  J Integr Bioinform       Date:  2022-07-04
  1 in total

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