A Mozart Implementation of CP(BioNet)

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 graphdomain variables. These new variables and constraints are implemented in Oz and they can then be used like other domain variables in the OzMozart 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.

• Type: Conference
• Year: 2004
• Where: MOZ
• Authors: Grégoire Dooms, Yves Deville, Pierre Dupont
• Keywords: Artificial Intelligence, Biochemical Networks, Constraint Propagator, Domain Variables, MOZ 2004