Hi Abed,
Yes, you can specify configuration set, doses and variants when starting the debugger. This is currently undocumented, but below is a full description of possible input arguments and how to start the debugger.
Best,
Florian
% startSimBiologyDebugger Open Model Debugger for SimBiology.
%
% startSimBiologyDebugger(modelObj) starts the Model Debugger app to
% debug the SimBiology model object modelObj. The model active
% configset, active variants, and active doses are used. Active
% variant values supersede the corresponding model values. Active doses
% define additions that are made to species amounts or parameter
% values.
%
% startSimBiologyDebugger(modelObj, configSetObj) uses the SimBiology
% configuration set configSetObj for debugging. The input
% configSetObj is a scalar SimBiology.ConfigSet object.
%
% startSimBiologyDebugger(modelObj, variantObj) applies the
% variant object or vector of variant objects variantObjs to the model
% before debugging.
%
% startSimBiologyDebugger(modelObj, doseObjs) uses the dose object or
% vector of dose objects doseObjs during debugging.
%
% startSimBiologyDebugger(modelObj, configSetObj, doseOrVariantObjs)
% debugs modelObj using the configuration set configSetObj and variants
% or doses doseOrVariantObjs. Specify [] as the third argument when you
% want to explicitly exclude any variant objects from debugging.
%
% startSimBiologyDebugger(modelObj, configSetObj, variantObjs, doseObjs)
% debugs modelObj using the configuration set configSetObj, variants
% variantsObjs, and doses doseObjs.
%
%
% Example:
%
% % Create a SimBiology model from an SBML file.
% m = sbmlimport('lotka');
%
% % Open the Debugger app to troubleshoot the model.
% startSimBiologyDebugger(m);
