{
  "annotation_id": "773ceb25-a8cf-4530-9345-1827495ad240",
  "date_created": "2026-03-02T18:01:31.669000Z",
  "date_modified": "2026-03-02T18:01:31.669000Z",
  "file_hash": "e3cee3ee2e37562418536a42a2ecdb2bdc81290b46181f19698fb6ed704009fa",
  "private": false,
  "record": {
    "abstract": "Based on our physical and biological studies we have recently developed a\nmathematical framework for the analysis of nonlnear dynamics. We call this\nframework the dynamical structure analysis. It has four dynamical elements:\npotential landscape, transverse matrix, descendant matrix, and stochastic\ndrive. In particular, the importance and the existence of the potential\nlandscape is emphasized.\n  The dynamical structure analysis is illustrated in detail by the study of\nstability, robustness, and efficiency of the simplest gene regulatory network\nof phage lambda.",
    "arxiv_id": "q-bio/0403016",
    "authors": [
      "X. -M. Zhu",
      "L. Yin",
      "L. Hood",
      "P. Ao"
    ],
    "categories": [
      "q-bio.MN",
      "cond-mat.stat-mech",
      "nlin.AO"
    ],
    "title": "Robustness, Stability and Efficiency of Phage lambda Gene Regulatory   Network: Dynamical Structure Analysis",
    "url": "https://arxiv.org/abs/q-bio/0403016"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3538e65e-7e96-487d-a613-0e707648ddab",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}