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Greene2019 - Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment Lab

About lab

This model is built by COPASI 4.24(Build 197), based on paper:Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment.Author:James M. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.

Runtime

Duration10
Comms Step1

Runs

Total0
Completed0
Failed0

Metadata

Packagegreene2019-differentiate-spontaneous-and-induced-evolution-to-dr
Created2026-05-16
Updated2026-05-16
biomodels_ebicurateddrug-responsefaithfuloncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "epsilon_source_parameter",
        "label": "Epsilon source parameter",
        "units": "native SBML value",
        "default": "1e-6",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.epsilon_source_parameter",
        "description": "Epsilon source parameter. Maps to bundled SBML parameter `epsilon`."
      },
      {
        "name": "initial_sensitive_tumor_s",
        "label": "Sensitive tumor S",
        "units": "native SBML value",
        "default": 0.01,
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.initial_sensitive_tumor_s",
        "description": "Initial Sensitive tumor S. Sets the initial value of bundled SBML symbol `Sensitive_tumor_S`."
      },
      {
        "name": "initial_resistant_tumor_r",
        "label": "Resistant tumor R",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.initial_resistant_tumor_r",
        "description": "Initial Resistant tumor R. Sets the initial value of bundled SBML symbol `Resistant_tumor_R`."
      }
    ],
    "outputs": [
      {
        "name": "sensitive_tumor_s",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.sensitive_tumor_s",
        "description": "Sensitive tumor S observable. Maps to SBML symbol `Sensitive_tumor_S`."
      },
      {
        "name": "resistant_tumor_r",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.resistant_tumor_r",
        "description": "Resistant tumor R observable. Maps to SBML symbol `Resistant_tumor_R`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "curated",
    "drug-response",
    "faithful",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Greene2019 - Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment Lab",
  "models": [
    {
      "path": "owned/models/oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model",
      "alias": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model",
      "provenance": {
        "owned_path": "owned/models/oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model_state"
      ],
      "from": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model_summary"
      ],
      "from": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model_species_labels"
      ],
      "from": "oncology_sbml_greene2019_differentiate_spontaneous_and_induced_biomd0000000825_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "description": "This model is built by COPASI 4.24(Build 197), based on paper:Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment.Author:James M. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}

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