A Mozart Implementation of CP(BioNet)
Identifieur interne : 001C05 ( Main/Exploration ); précédent : 001C04; suivant : 001C06A Mozart Implementation of CP(BioNet)
Auteurs : Grégoire Dooms [Belgique] ; Yves Deville [Belgique] ; Pierre Dupont [Belgique]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
English descriptors
- KwdEn :
Abstract
Abstract: The analysis of biochemical networks consists in studying the interactions between biological entities cooperating in complex cellular processes. To facilitate the expression of analyses and their computation, we introduced CP(BioNet), a constraint programming framework for the analysis of biochemical networks. An Oz-Mozart prototype of CP(BioNet) is described. This prototype consists of the implementation of a new kind of domain variables, graph domain variables, and the implementation of constraint propagators for constraints over graph-domain variables. These new variables and constraints are implemented in Oz and they can then be used like other domain variables in the Oz-Mozart platform. An implementation of a path constraint propagator is described in depth and constrained path finding tests are analysed to assess the tractability of our approach. Finally, an alternative Oz-Mozart data-structure for the graph-domain variables is presented and compared to the first one.
Url:
DOI: 10.1007/978-3-540-31845-3_20
Affiliations:
- Belgique
- Province du Brabant wallon, Région wallonne
- Louvain-la-Neuve
- Université catholique de Louvain
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Le document en format XML
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To facilitate the expression of analyses and their computation, we introduced CP(BioNet), a constraint programming framework for the analysis of biochemical networks. An Oz-Mozart prototype of CP(BioNet) is described. This prototype consists of the implementation of a new kind of domain variables, graph domain variables, and the implementation of constraint propagators for constraints over graph-domain variables. These new variables and constraints are implemented in Oz and they can then be used like other domain variables in the Oz-Mozart platform. An implementation of a path constraint propagator is described in depth and constrained path finding tests are analysed to assess the tractability of our approach. Finally, an alternative Oz-Mozart data-structure for the graph-domain variables is presented and compared to the first one.</div></front></TEI><affiliations><list><country><li>Belgique</li></country><region><li>Province du Brabant wallon</li><li>Région wallonne</li></region><settlement><li>Louvain-la-Neuve</li></settlement><orgName><li>Université catholique de Louvain</li></orgName></list><tree><country name="Belgique"><region name="Région wallonne"><name sortKey="Dooms, Gregoire" sort="Dooms, Gregoire" uniqKey="Dooms G" first="Grégoire" last="Dooms">Grégoire Dooms</name></region><name sortKey="Deville, Yves" sort="Deville, Yves" uniqKey="Deville Y" first="Yves" last="Deville">Yves Deville</name><name sortKey="Deville, Yves" sort="Deville, Yves" uniqKey="Deville Y" first="Yves" last="Deville">Yves Deville</name><name sortKey="Dooms, Gregoire" sort="Dooms, Gregoire" uniqKey="Dooms G" first="Grégoire" last="Dooms">Grégoire Dooms</name><name sortKey="Dupont, Pierre" sort="Dupont, Pierre" uniqKey="Dupont P" first="Pierre" last="Dupont">Pierre Dupont</name><name sortKey="Dupont, Pierre" sort="Dupont, Pierre" uniqKey="Dupont P" first="Pierre" last="Dupont">Pierre Dupont</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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