Reaction-contingency based bipartite Boolean modelling.

ABSTRACT:

Background

Intracellular signalling systems are highly complex, rendering mathematical modelling of large signalling networks infeasible or impractical. Boolean modelling provides one feasible approach to whole-network modelling, but at the cost of dequantification and decontextualisation of activation. That is, these models cannot distinguish between different downstream roles played by the same component activated in different contexts.

Results

Here, we address this with a bipartite Boolean modelling approach. Briefly, we use a state oriented approach with separate update rules based on reactions and contingencies. This approach retains contextual activation information and distinguishes distinct signals passing through a single component. Furthermore, we integrate this ap

SUBMITTER: Flottmann M 

PROVIDER: S-EPMC3710479 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature