Tabak2007_dopamine Lab

About lab

Tabak2007_dopamine

This Biosimulant lab wraps Tabak2007_dopamine as a runnable pharmacology model with a companion visualization module. The model is encoded according to the paper Low dose of dopamine may stimulate prolactin secretion by increasing fast potassium currents Figure5 has been reproduced by MathSBML. It can be used to explore drug-exposure and pathway-response dynamics and compare scenario outcomes across configurations.

What You'll See

The lab asks: How does the selected conductance state affect calcium dynamics? It runs for 60.0 time units with a communication step of 2.0. The run uses the model defaults declared by the curated SBML wrapper. The generated visualizations focus on Calcium Concentration, combining trajectory, endpoint-comparison, and summary-table views from one completed dark-mode run.

In this captured run, calcium concentration peaked at 0.3000 and calcium concentration moved by 0.0224 native units across 60.0 simulation windows.

Output Visualizations

Tabak2007_dopamine - run interpretation

Summary table for Tabak2007_dopamine, reporting the scientific question, observed answer (largest change: calcium concentration at 0.0224 native units), evidence (peak observable: calcium concentration), dominant module, and caveat.

Tabak2007_dopamine - timeseries visualization

Trajectories of calcium concentration across the 60.0 simulation. In this run calcium concentration fell from 0.3000 to 0.2776 — the largest movements among the focused observables.

Tabak2007_dopamine - excursions bar

Largest-excursion ranking of the focused observables — the absolute movement magnitude during the run. Top 1: calcium concentration = 0.0224.

Tabak2007_dopamine - endpoint snapshot bar

Endpoint snapshot of the focused observables — final values from the captured run. Top 1 by value: calcium concentration = 0.2776.

Model Context

Core model: models/core
Visualization model: models/visualisation
Standard: sbml
Upstream source: biomodels_ebi:BIOMD0000000138
License: CC0

Inputs

Input	Maps To	Notes
Initial Calcium Concentration	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.initial_calcium_concentration`	Uses the model default unless overridden at run time.
Calcium Conductance	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.calcium_conductance`	Uses the model default unless overridden at run time.
Potassium Conductance	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.potassium_conductance`	Uses the model default unless overridden at run time.
Sk Conductance	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.sk_conductance`	Uses the model default unless overridden at run time.
Membrane Capacitance	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.membrane_capacitance`	Uses the model default unless overridden at run time.

Outputs

Output	Maps To	Role
`state`	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.state`	Available to the visualization model and downstream workflows.
`summary`	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.summary`	Available to the visualization model and downstream workflows.
`species_labels`	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.species_labels`	Available to the visualization model and downstream workflows.
`calcium_concentration`	`pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.calcium_concentration`	Available to the visualization model and downstream workflows.

Runtime

Duration: 60.0
Communication step: 2.0

Running Locally

biosimulant labs serve .

The model is encoded according to the paper Low dose of dopamine may stimulate prolactin secretion by increasing fast potassium currents Figure5 has been reproduced by MathSBML. It can be used to explore dose-response dynamics and compare treatment scenarios across conditions.

Runtime

Duration60

Comms Step2

Runs

Total0

Completed0

Failed0

Metadata

Packagetabak2007-dopamine-lab

Created2026-05-16

Updated2026-05-16

pharmacologyneurosciencepharmacodynamicssignalingsbmltelluriumfaithfulbiomodels_ebivisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "initial_calcium_concentration",
        "label": "Initial Calcium Concentration",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.initial_calcium_concentration"
      },
      {
        "name": "calcium_conductance",
        "label": "Calcium Conductance",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.calcium_conductance"
      },
      {
        "name": "potassium_conductance",
        "label": "Potassium Conductance",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.potassium_conductance"
      },
      {
        "name": "sk_conductance",
        "label": "Sk Conductance",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.sk_conductance"
      },
      {
        "name": "membrane_capacitance",
        "label": "Membrane Capacitance",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.membrane_capacitance"
      }
    ],
    "outputs": [
      {
        "name": "state",
        "label": "Tracked source state",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.state"
      },
      {
        "name": "summary",
        "label": "Simulation summary",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.summary"
      },
      {
        "name": "species_labels",
        "label": "Observable labels",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.species_labels"
      },
      {
        "name": "calcium_concentration",
        "label": "Calcium Concentration",
        "maps_to": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.calcium_concentration"
      }
    ]
  },
  "tags": [
    "pharmacology",
    "neuroscience",
    "pharmacodynamics",
    "signaling",
    "sbml",
    "tellurium",
    "faithful",
    "biomodels_ebi"
  ],
  "title": "Tabak2007_dopamine Lab",
  "models": [
    {
      "path": "owned/models/pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model",
      "alias": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model",
      "parameters": {
        "model_path": "data/BIOMD0000000138.xml",
        "integration_step": 0.2
      },
      "provenance": {
        "owned_path": "owned/models/pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model_state"
      ],
      "from": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.state"
    },
    {
      "to": [
        "visualisation.pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model_summary"
      ],
      "from": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.summary"
    },
    {
      "to": [
        "visualisation.pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model_species_labels"
      ],
      "from": "pharmacology_sbml_tabak2007_dopamine_biomd0000000138_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 60,
    "initial_inputs": {},
    "communication_step": 2
  },
  "description": "The model is encoded according to the paper Low dose of dopamine may stimulate prolactin secretion by increasing fast potassium currents Figure5 has been reproduced by MathSBML. It can be used to explore dose-response dynamics and compare treatment scenarios across conditions.",
  "schema_version": "2.0"
}

Select a run from History to view its results.