Model building workflow for subcellular models

A model building workflow supporting the estimation of subcellular model parameters using experimental data traces has been published. After the resulting model is constrained with regard to parameters, global sensitivity analysis can be applied on the model prediction, using the estimated posterior parameter distribution as a restriction on acceptable model parameter values. For an example of this workflow applied on CaMKII and calcineurin activation, see Eriksson et al, 2019, doi.org/10.1093/bioinformatics/bty607.

Example workflow for CaMKII and calcineurin activation. The illustration shows the different parts of the developed workflow for model building, validation and prediction (modified from doi.org/10.1093/bioinformatics/bty607).