dorsal/arxiv
View SchemaOptimal experimental design in an EGFR signaling and down-regulation model
| Authors | Fergal P. Casey, Dan Baird, Qiyu Feng, Ryan N. Gutenkunst, Joshua J. Waterfall, Christopher R. Myers, Kevin S. Brown, Richard A. Cerione, James P. Sethna |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0610024 |
| URL | https://arxiv.org/abs/q-bio/0610024 |
Abstract
We apply the methods of optimal experimental design to a differential equation model for epidermal growth factor receptor (EGFR) signaling, trafficking, and down-regulation. The model incorporates the role of a recently discovered protein complex made up of the E3 ubiquitin ligase, Cbl, the guanine exchange factor (GEF), Cool-1 (Beta-Pix), and the Rho family G protein Cdc42. The complex has been suggested to be important in disrupting receptor down-regulation. We demonstrate that the model interactions can accurately reproduce the experimental observations, that they can be used to make predictions with accompanying uncertainties, and that we can apply ideas of optimal experimental design to suggest new experiments that reduce the uncertainty on unmeasurable components of the system.
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"date_created": "2026-03-02T18:01:34.998000Z",
"date_modified": "2026-03-02T18:01:34.998000Z",
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"abstract": "We apply the methods of optimal experimental design to a differential\nequation model for epidermal growth factor receptor (EGFR) signaling,\ntrafficking, and down-regulation. The model incorporates the role of a recently\ndiscovered protein complex made up of the E3 ubiquitin ligase, Cbl, the guanine\nexchange factor (GEF), Cool-1 (Beta-Pix), and the Rho family G protein Cdc42.\nThe complex has been suggested to be important in disrupting receptor\ndown-regulation. We demonstrate that the model interactions can accurately\nreproduce the experimental observations, that they can be used to make\npredictions with accompanying uncertainties, and that we can apply ideas of\noptimal experimental design to suggest new experiments that reduce the\nuncertainty on unmeasurable components of the system.",
"arxiv_id": "q-bio/0610024",
"authors": [
"Fergal P. Casey",
"Dan Baird",
"Qiyu Feng",
"Ryan N. Gutenkunst",
"Joshua J. Waterfall",
"Christopher R. Myers",
"Kevin S. Brown",
"Richard A. Cerione",
"James P. Sethna"
],
"categories": [
"q-bio.MN",
"q-bio.QM"
],
"title": "Optimal experimental design in an EGFR signaling and down-regulation model",
"url": "https://arxiv.org/abs/q-bio/0610024"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "74aebb0e-3912-43c5-9b66-17ac3c6f9046",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}