Automated inference of Boolean models from molecular interaction maps using CaSQ.

ABSTRACT:

Motivation

Molecular interaction maps have emerged as a meaningful way of representing biological mechanisms in a comprehensive and systematic manner. However, their static nature provides limited insights to the emerging behaviour of the described biological system under different conditions. Computational modelling provides the means to study dynamic properties through in silico simulations and perturbations. We aim to bridge the gap between static and dynamic representations of biological systems with CaSQ, a software tool that infers Boolean rules based on the topology and semantics of molecular interaction maps built with CellDesigner.

Results

We developed CaSQ by defining conversion rules and logical formulas for inferred Boolean models according to the topology and th

SUBMITTER: Aghamiri SS 

PROVIDER: S-EPMC7575051 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature