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Kuznetsov2016 Syn Aggregation Kinetics In Parkinson S Disease Lab

About lab

Kuznetsov2016(II) - α-syn aggregationkinetics in Parkinson's This theoretical model uses 2-step Finke-Watzky (FW) kineticstodescribe the production, misfolding, aggregation, transport anddegradation o. It can be used to explore systemsbiology kuznetsov2016 ii syn aggregation kinetics dynamics and compare simulation behavior across conditions.

Runtime

Duration1
Comms Step0.1

Runs

Total0
Completed0
Failed0

Metadata

Packagekuznetsov2016-syn-aggregation-kinetics-in-parkinson-s-disease-la
Created2026-05-17
Updated2026-05-17
neurosciencesystemsbiologysbmlbiomodels_ebifaithfulcuratedvisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "initial_as_value",
        "label": "Initial As Value",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.initial_as_value",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `As`."
      },
      {
        "name": "initial_bsyn",
        "label": "Initial Bsyn",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.initial_bsyn",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Bsyn`."
      },
      {
        "name": "initial_model_state_bs",
        "label": "Initial Model State Bs",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.initial_model_state_bs",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Bs`."
      },
      {
        "name": "initial_asyn",
        "label": "Initial Asyn",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.initial_asyn",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Asyn`."
      }
    ],
    "outputs": [
      {
        "name": "state",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.state"
      },
      {
        "name": "summary",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.summary"
      },
      {
        "name": "species_labels",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.species_labels"
      },
      {
        "name": "as_value",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.as_value"
      },
      {
        "name": "bsyn",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.bsyn"
      },
      {
        "name": "model_state_bs",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.model_state_bs"
      },
      {
        "name": "asyn",
        "maps_to": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.asyn"
      }
    ]
  },
  "tags": [
    "neuroscience",
    "systemsbiology",
    "sbml",
    "biomodels_ebi",
    "faithful",
    "curated"
  ],
  "title": "Kuznetsov2016 Syn Aggregation Kinetics In Parkinson S Disease Lab",
  "models": [
    {
      "path": "owned/models/systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model",
      "alias": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model",
      "provenance": {
        "owned_path": "owned/models/systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model_state"
      ],
      "from": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.state"
    },
    {
      "to": [
        "visualisation.systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model_summary"
      ],
      "from": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.summary"
    },
    {
      "to": [
        "visualisation.systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model_species_labels"
      ],
      "from": "systemsbiology_sbml_kuznetsov2016_ii_syn_aggregation_kinetics_in_par_biomd0000000615_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 1,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "description": "Kuznetsov2016(II) - α-syn aggregationkinetics in Parkinson's This theoretical model uses 2-step Finke-Watzky (FW) kineticstodescribe the production, misfolding, aggregation, transport anddegradation o. It can be used to explore systemsbiology kuznetsov2016 ii syn aggregation kinetics dynamics and compare simulation behavior across conditions.",
  "schema_version": "2.0"
}

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