{
  "annotation_id": "e996a4c2-3dbd-46bb-be7d-1131a6f3bde9",
  "date_created": "2026-03-02T18:01:35.496000Z",
  "date_modified": "2026-03-02T18:01:35.496000Z",
  "file_hash": "465bbf3dc656f541f658bcbb1ed08efb3d326ac53efa76db3e592b225180a6bf",
  "private": false,
  "record": {
    "abstract": "Dynamical properties of the transcriptional regulatory network of {\\it\nEscherichia coli} and {\\it Saccharomyces cerevisiae} are studied within the\nframework of random Boolean functions. The dynamical response of these networks\nto a single point mutation is characterized by the number of mutated elements\nas a function of time and the distribution of the relaxation time to a new\nstationary state, which turn out to be different in both networks. Comparison\nwith the behavior of randomized networks reveals relevant structural\ncharacteristics other than the mean connectivity, namely the organization of\ncircuits and the functional form of the in-degree distribution. The abundance\nof single-element circuits in {\\it E. coli} and the power-law in-degree\ndistribution of {\\it S. cerevisiae} shift their dynamics towards marginal\nstability overcoming the restrictions imposed by their mean connectivities,\nwhich is argued to be related to the simultaneous presence of robustness and\nadaptivity in living organisms.",
    "arxiv_id": "q-bio/0609033",
    "authors": [
      "Deok-Sun Lee",
      "Heiko Rieger"
    ],
    "categories": [
      "q-bio.MN"
    ],
    "title": "Comparative study of the transcriptional regulatory networks of E. coli   and yeast: Structural characteristics leading to marginal dynamic stability",
    "url": "https://arxiv.org/abs/q-bio/0609033"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e78f1791-d191-41c5-b639-d999d8a8b100",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}