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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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 |
work_keys_str_mv |
AT kepesfrancois incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks AT devillersraymond incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks AT klaudelhanna incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks AT yartsevaanastasia incrementalandunifyingmodellingformalismforbiologicalinteractionnetworks |
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