International audienceCellular signalling pathways, where proteins can form complexes and undergo a large array of post translational modifications are highly combinatorial systems sending and receiving extra-cellular signals and triggering appropriate responses. Process-centric languages seem apt to their representation and simulation [1,2,3]. Rule-centric languages such as κ [4,5,6,7,8] and BNG [9,10] bring in additional ease of expression.We propose in this paper a method to enumerate a superset of the reachable complexes that a κ rule set can generate. This is done via the construction of a finite abstract interpretation. We find a simple criterion for this superset to be the exact set of reachable complexes, namely that the superset is...
International audienceGiven the combinatorial nature of cellular signalling pathways, where biologic...
AbstractVarious calculi have been proposed to model different levels of abstraction of cell signalin...
BACKGROUND: Mathematical/computational models are needed to understand cell signaling networks, whic...
International audienceCellular signalling pathways, where proteins can form complexes and undergo a ...
International audienceAgent-based formal languages can be used to describe biological signalling net...
We investigate the use of an extension of rule-based modelling for cellular signalling to create a s...
AbstractWe illustrate with a simple example how using a rule-based approach to the modelling of prot...
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the ...
The induction of a signaling pathway is characterized by transient complex formation and mutual post...
Large-scale protein signalling networks are useful for exploring complex biochemical pathways but do...
Abstract. Given the combinatorial nature of cellular signalling path-ways, where biological agents c...
Abstract. The way how cell signals are generated, encoded, transferred, modified, and utilised is es...
AbstractRule-based languages such as Kappa and BioNetGen excel in their support for handling combina...
peer reviewedBACKGROUND: Receptors and scaffold proteins possess a number of distinct domains and bi...
Large-scale protein signalling networks are useful for exploring complex biochemical pathways but do...
International audienceGiven the combinatorial nature of cellular signalling pathways, where biologic...
AbstractVarious calculi have been proposed to model different levels of abstraction of cell signalin...
BACKGROUND: Mathematical/computational models are needed to understand cell signaling networks, whic...
International audienceCellular signalling pathways, where proteins can form complexes and undergo a ...
International audienceAgent-based formal languages can be used to describe biological signalling net...
We investigate the use of an extension of rule-based modelling for cellular signalling to create a s...
AbstractWe illustrate with a simple example how using a rule-based approach to the modelling of prot...
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the ...
The induction of a signaling pathway is characterized by transient complex formation and mutual post...
Large-scale protein signalling networks are useful for exploring complex biochemical pathways but do...
Abstract. Given the combinatorial nature of cellular signalling path-ways, where biological agents c...
Abstract. The way how cell signals are generated, encoded, transferred, modified, and utilised is es...
AbstractRule-based languages such as Kappa and BioNetGen excel in their support for handling combina...
peer reviewedBACKGROUND: Receptors and scaffold proteins possess a number of distinct domains and bi...
Large-scale protein signalling networks are useful for exploring complex biochemical pathways but do...
International audienceGiven the combinatorial nature of cellular signalling pathways, where biologic...
AbstractVarious calculi have been proposed to model different levels of abstraction of cell signalin...
BACKGROUND: Mathematical/computational models are needed to understand cell signaling networks, whic...