Kboolnet: a toolkit for the verification, validation, and visualization of reaction-contingency (rxncon) models.

ABSTRACT:

Background

Computational models of cell signaling networks are extremely useful tools for the exploration of underlying system behavior and prediction of response to various perturbations. By representing signaling cascades as executable Boolean networks, the previously developed rxncon ("reaction-contingency") formalism and associated Python package enable accurate and scalable modeling of signal transduction even in large (thousands of components) biological systems. The models are split into reactions, which generate states, and contingencies, that impinge on reactions; this avoids the so-called "combinatorial explosion" of system size. Boolean description of the biological system compensates for the poor availability of kinetic parameters which are necessary for quantitative mo

SUBMITTER: Carretero Chavez W 

PROVIDER: S-EPMC10258968 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature