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Varusai2018 - Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR Lab

About lab

Clean Biosimulant lab for systems signaling model: Varusai2018 - Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR. Values are native SBML quantities; equations, parameters, and initial values remain in the bundled source file.

Runtime

Duration1
Comms Step0.1

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Metadata

Packagevarusai2018-dynamic-modelling-of-the-mtor-signalling-network-rev
Created2026-05-16
Updated2026-05-16
signalingsystemssystems-biologysbmlfaithfulbiomodels_ebimtorgpcrvisualisation

Manifest

{
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        "name": "initial_insulin_receptor",
        "label": "Initial insulin receptor",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.initial_insulin_receptor",
        "description": "Initial level of insulin receptor. Maps to SBML symbol `IR`; exposed as a traceable initial-condition perturbation."
      }
    ],
    "outputs": [
      {
        "name": "akt",
        "label": "AKT",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.akt",
        "description": "AKT. Maps to SBML symbol `Akt` and is emitted in native SBML units."
      },
      {
        "name": "source_defined_pakt_state",
        "label": "source-defined PAKT state",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.source_defined_pakt_state",
        "description": "source-defined PAKT state. Maps to SBML symbol `pAkt` and is emitted in native SBML units."
      },
      {
        "name": "source_defined_pir_state",
        "label": "source-defined PIR state",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.source_defined_pir_state",
        "description": "source-defined PIR state. Maps to SBML symbol `pIR` and is emitted in native SBML units."
      },
      {
        "name": "state",
        "label": "Observable state",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.state"
      },
      {
        "name": "summary",
        "label": "Simulation summary",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.summary"
      },
      {
        "name": "species_labels",
        "label": "Observable labels",
        "maps_to": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.species_labels"
      }
    ]
  },
  "tags": [
    "signaling",
    "systems",
    "systems-biology",
    "sbml",
    "faithful",
    "biomodels_ebi",
    "mtor",
    "gpcr"
  ],
  "title": "Varusai2018 - Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR Lab",
  "models": [
    {
      "path": "owned/models/signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model",
      "alias": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model",
      "provenance": {
        "owned_path": "owned/models/signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
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    },
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    },
    {
      "to": [
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      ],
      "from": "signaling_sbml_varusai2018_dynamic_modelling_of_the_mtor_signal_biomd0000000823_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 1,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "description": "Clean Biosimulant lab for systems signaling model: Varusai2018 - Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR. Values are native SBML quantities; equations, parameters, and initial values remain in the bundled source file.",
  "schema_version": "2.0"
}

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