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A High-Level Language for Rule-Based Modelling

Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper...

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Detalles Bibliográficos
Autores principales: Pedersen, Michael, Phillips, Andrew, Plotkin, Gordon D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456403/
https://www.ncbi.nlm.nih.gov/pubmed/26043208
http://dx.doi.org/10.1371/journal.pone.0114296
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author Pedersen, Michael
Phillips, Andrew
Plotkin, Gordon D.
author_facet Pedersen, Michael
Phillips, Andrew
Plotkin, Gordon D.
author_sort Pedersen, Michael
collection PubMed
description Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper introduces a high-level, modular extension of Kappa called LBS-κ. We demonstrate the constructs of the language through examples and three case studies: a chemotaxis switch ring, a MAPK cascade, and an insulin signalling pathway. We then provide a formal definition of LBS-κ through an abstract syntax and a translation to plain Kappa. The translation is implemented in a compiler tool which is available as a web application. We finally demonstrate how to increase the expressivity of LBS-κ through embedded scripts in a general-purpose programming language, a technique which we view as generally applicable to other domain specific languages.
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spelling pubmed-44564032015-06-09 A High-Level Language for Rule-Based Modelling Pedersen, Michael Phillips, Andrew Plotkin, Gordon D. PLoS One Research Article Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper introduces a high-level, modular extension of Kappa called LBS-κ. We demonstrate the constructs of the language through examples and three case studies: a chemotaxis switch ring, a MAPK cascade, and an insulin signalling pathway. We then provide a formal definition of LBS-κ through an abstract syntax and a translation to plain Kappa. The translation is implemented in a compiler tool which is available as a web application. We finally demonstrate how to increase the expressivity of LBS-κ through embedded scripts in a general-purpose programming language, a technique which we view as generally applicable to other domain specific languages. Public Library of Science 2015-06-04 /pmc/articles/PMC4456403/ /pubmed/26043208 http://dx.doi.org/10.1371/journal.pone.0114296 Text en © 2015 Pedersen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pedersen, Michael
Phillips, Andrew
Plotkin, Gordon D.
A High-Level Language for Rule-Based Modelling
title A High-Level Language for Rule-Based Modelling
title_full A High-Level Language for Rule-Based Modelling
title_fullStr A High-Level Language for Rule-Based Modelling
title_full_unstemmed A High-Level Language for Rule-Based Modelling
title_short A High-Level Language for Rule-Based Modelling
title_sort high-level language for rule-based modelling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456403/
https://www.ncbi.nlm.nih.gov/pubmed/26043208
http://dx.doi.org/10.1371/journal.pone.0114296
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