|Open SimBiology Model Builder|
|Construct model object|
|Return SimBiology root object|
|Delete all model objects|
|Search for objects with specified constraints|
|SimBiology last warning message|
|SimBiology last error message|
|Validate and verify SimBiology model|
|Create compartment object|
|Add observable object to SimBiology model|
|Create species object and add to compartment object within model object|
|Create parameter object and add to model or kinetic law object|
|Create reaction object and add to model object|
|Create rule object and add to model object|
|Add event object to model object|
|Find unused species, parameters, and compartments in a model|
|Find out how a species, parameter, or compartment is used in a model|
|Find out how observable object is used in SimBiology model|
|Find out how a unit or unit prefix is used|
|Find out how an AbstractKineticLaw object is used|
|Update initial assignment rules to remove order dependencies|
|Model and component information|
|Object containing expression for post-simulation calculations|
|Object containing compartment information|
|Object containing species information|
|Parameter and scope information|
|Object containing model reaction information|
|Kinetic law information for reaction|
|Hold rule for species and parameters|
|Store event information|
|Hold models, unit libraries, and abstract kinetic law libraries|
|Helper object to construct pharmacokinetic model|
|Used by |
|Define SimBiology model components’ roles|
|Construct SimBiology model from |
|Add compartment to |
This example shows how to create and simulate a simple model of receptor-ligand kinetics using the SimBiology Model Builder and SimBiology Model Analyzer apps.
Incorporate sodium-glucose co-transporter 2 (SGLT2) receptor inhibition by a hypothetical compound into an existing glucose-insulin model.
This example shows how to construct a simple model programmatically.
This example shows how to construct a simple gene-regulation model and simulate it.
This example shows how to create a custom function and incorporate it in model simulation.
A SimBiology® model is a dynamic system described by a set of quantities and mathematical expressions.
You can view the system of equations that SimBiology creates when you build a model using reactions, rules, events, variants, and doses.
species object represents a species, which is the amount of a chemical or entity that participates in reactions.
Rules are mathematical expressions that allow you to define or modify model quantities, namely compartment capacity, species amount, or parameter value.
A reaction is a mathematical expression that describe a transformation, transport, or binding process that changes one or more species.
Use mass action kinetics to define zero-order, first-order, second-order, and reversible reactions.
Use differential equations, mass action kinetics, or Michaelis-Menten kinetics to define enzyme reactions.
In SimBiology, an event is a discrete transition in value of a quantity or expression in a model.
Use doses to model different dosing regimens.
SimBiology lets you create one-, two-, or multi-compartment pharmacokinetic models for model simulation and parameter estimation.
SimBiology lets you find species, parameters, compartments, and observables that are not used in a model and find out how they are used.
SimBiology follows some precedence rules when evaluating names in expressions.