Abstract | ||
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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. |
Year | Venue | Keywords |
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2004 | Lecture Notes in Computer Science | Mozart,Oz,constraint programming,graph domain variables,constrained path finding,path constraint |
Field | DocType | Volume |
Graph,Constraint satisfaction,Computer science,Constraint graph,Constraint programming,Theoretical computer science,Constraint logic programming,Computation,Distributed computing | Conference | 3389 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Grégoire Dooms | 1 | 65 | 5.01 |
Yves Deville | 2 | 987 | 110.84 |
Pierre Dupont | 3 | 380 | 29.30 |