Incremental and unifying modelling formalism for biological interaction networks

<p>Abstract</p> <p>Background</p> <p>An appropriate choice of the modeling formalism from the broad range of existing ones may be crucial for efficiently describing and analyzing biological systems.</p> <p>Results</p> <p>We propose a new unifying...

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Main Authors: Képès François, Devillers Raymond, Klaudel Hanna, Yartseva Anastasia
Format: Article
Language:English
Published: BMC 2007-11-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/8/433
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spelling doaj-de1f585e342d415cbd0cb8667cb72c2e2020-11-25T01:03:06ZengBMCBMC Bioinformatics1471-21052007-11-018143310.1186/1471-2105-8-433Incremental and unifying modelling formalism for biological interaction networksKépès FrançoisDevillers RaymondKlaudel HannaYartseva Anastasia<p>Abstract</p> <p>Background</p> <p>An appropriate choice of the modeling formalism from the broad range of existing ones may be crucial for efficiently describing and analyzing biological systems.</p> <p>Results</p> <p>We propose a new unifying and incremental formalism for the representation and modeling of biological interaction networks. This formalism allows automated translations into other formalisms, thus enabling a thorough study of the dynamic properties of a biological system. As a first illustration, we propose a translation into the R. Thomas' multivalued logical formalism which provides a possible semantics; a methodology for constructing such models is presented on a classical benchmark: the <it>λ </it>phage genetic switch. We also show how to extract from our model a classical ODE description of the dynamics of a system.</p> <p>Conclusion</p> <p>This approach provides an additional level of description between the biological and mathematical ones. It yields, on the one hand, a knowledge expression in a form which is intuitive for biologists and, on the other hand, its representation in a formal and structured way.</p> http://www.biomedcentral.com/1471-2105/8/433
collection DOAJ
language English
format Article
sources DOAJ
author Képès François
Devillers Raymond
Klaudel Hanna
Yartseva Anastasia
spellingShingle Képès François
Devillers Raymond
Klaudel Hanna
Yartseva Anastasia
Incremental and unifying modelling formalism for biological interaction networks
BMC Bioinformatics
author_facet Képès François
Devillers Raymond
Klaudel Hanna
Yartseva Anastasia
author_sort Képès François
title Incremental and unifying modelling formalism for biological interaction networks
title_short Incremental and unifying modelling formalism for biological interaction networks
title_full Incremental and unifying modelling formalism for biological interaction networks
title_fullStr Incremental and unifying modelling formalism for biological interaction networks
title_full_unstemmed Incremental and unifying modelling formalism for biological interaction networks
title_sort incremental and unifying modelling formalism for biological interaction networks
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2007-11-01
description <p>Abstract</p> <p>Background</p> <p>An appropriate choice of the modeling formalism from the broad range of existing ones may be crucial for efficiently describing and analyzing biological systems.</p> <p>Results</p> <p>We propose a new unifying and incremental formalism for the representation and modeling of biological interaction networks. This formalism allows automated translations into other formalisms, thus enabling a thorough study of the dynamic properties of a biological system. As a first illustration, we propose a translation into the R. Thomas' multivalued logical formalism which provides a possible semantics; a methodology for constructing such models is presented on a classical benchmark: the <it>λ </it>phage genetic switch. We also show how to extract from our model a classical ODE description of the dynamics of a system.</p> <p>Conclusion</p> <p>This approach provides an additional level of description between the biological and mathematical ones. It yields, on the one hand, a knowledge expression in a form which is intuitive for biologists and, on the other hand, its representation in a formal and structured way.</p>
url http://www.biomedcentral.com/1471-2105/8/433
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AT devillersraymond incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks
AT klaudelhanna incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks
AT yartsevaanastasia incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks
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