{
  "annotation_id": "0d263ff5-b5dc-42dc-bbca-d00cc203bb96",
  "date_created": "2026-03-02T18:01:35.822000Z",
  "date_modified": "2026-03-02T18:01:35.822000Z",
  "file_hash": "999af42a3ab4f8b97e762f74ce1122f2f7d79ad66833b358a0b99b8d4f901254",
  "private": false,
  "record": {
    "abstract": "We model the transcription factor based regulation network of yeast using a\ncontent-based network model that mimicks the recognition of binding motifs on\nthe regulatory regions of the genes. We are thereby able to faithfully\nreproduce many of the topological features of the gene regulatory network of\nyeast once the parameters of the yeast genome, in particular the distribution\nof information coded by the \"binding sequences\" within the promoter regions is\nprovided as input. The length distribution for the promoter regions is fixed by\ncomparing the k-core analysis of the model network with that of yeast. Our\nresults strongly point to the possibility that the observed topological\nfeatures are generic to networks formed via sequence-matching between random\nstrings obeying certain length distributions.",
    "arxiv_id": "q-bio/0605045",
    "authors": [
      "Duygu Balcan",
      "Alkan Kabakcioglu",
      "Muhittin Mungan",
      "Ayse Erzan"
    ],
    "categories": [
      "q-bio.MN"
    ],
    "doi": "10.1371/journal.pone.0000501",
    "journal_ref": "PLoSONE vol. 2, e501 (2007)",
    "title": "Spontaneous Self-Assembly of Transcription Factor Based Gene Regulation   Networks",
    "url": "https://arxiv.org/abs/q-bio/0605045"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "7cae9629-1683-4f85-b04a-42411f92325e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}