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How to implement washing and bolus injection
Similar to the [bolus injection example](How to implement a bolus injection), sometimes a washing event should be modeled.
Such event can be modeled by an additional input function:
INPUTS
Washing C nM conc. "wash_strength * (1/sqrt(2*pi*wash_duration^2)) * exp(-(t - wash_timepoint)^2/(2*wash_duration^2))"
The function is a scaled normal distribution (given that t
indicates the independent variable) with area under the curve given by the value of wash_strength
and should be choosen large enough. The washing time point is given by wash_timepoint
and the duration by wash_duration
.
Additionally, one has to specify a reaction that removes the respective state variable (here Ligand
) proportional to the Washing
signal:
REACTIONS
Ligand -> CUSTOM "Ligand * Washing"
In the folder /Examples
we provide some showcase applications Washing_and_Injection_Test
that can be used as a starting point for a new modeling project.
In this example a first bolus of 5 nM is injected at time point 30 minutes over a period of 1 minute. At time point 50 minutes Ligand
is washed almost completely, and at time point 60 minutes another bolus of 3 nM is injected.
- Installation and system requirements
- Setting up models
- First steps
- Advanced events and pre-equilibration
- Computation of integration-based prediction bands
- How is the architecture of the code and the most important commands?
- What are the most important fields of the global variable ar?
- What are the most important functions?
- Optimization algorithms available in the d2d-framework
- Objective function, likelhood and chi-square in the d2d framework
- How to set up priors?
- How to set up steady state constraints?
- How do I restart the solver upon a step input?
- How to deal with integrator tolerances?
- How to implement a bolus injection?
- How to implement washing and an injection?
- How to implement a moment ODE model?
- How to run PLE calculations on a Cluster?