Graphs, Rewriting and Pathway Reconstruction for Rule-Based Models

Danos, Vincent; Feret, Jerome; Fontana, Walter; Harmer, Russell; Hayman, Jonathan; Krivine, Jean; Thompson-Walsh, Chris; Winskel, Glynn

doi:10.4230/LIPIcs.FSTTCS.2012.276

Abstract

In this paper, we introduce a novel way of constructing concise
causal histories (pathways) to represent how specified structures
are formed during simulation of systems represented by rule-based
models.  This is founded on a new, clean, graph-based semantics
introduced in the first part of this paper for Kappa, a rule-based
modelling language that has emerged as a natural description of
protein-protein interactions in molecular biology [Bachman 2011].  The semantics is capable of capturing the whole of Kappa, including subtle side-effects on deletion of structure, and its structured presentation provides the basis for the translation of techniques to other models. In particular, we give a notion of trajectory compression, which restricts a trace culminating in the production of a given structure to the actions necessary for the structure to occur. This is central to the reconstruction of biochemical pathways due to the failure of traditional techniques to provide adequately concise causal histories, and we expect it to be applicable in a range of other modelling situations.

Graphs, Rewriting and Pathway Reconstruction for Rule-Based Models

Authors Vincent Danos, Jerome Feret, Walter Fontana, Russell Harmer, Jonathan Hayman, Jean Krivine, Chris Thompson-Walsh, Glynn Winskel

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