{
  "annotation_id": "47e8d69c-cef2-4491-ac82-edb675f624b9",
  "date_created": "2026-03-02T18:01:32.345000Z",
  "date_modified": "2026-03-02T18:01:32.345000Z",
  "file_hash": "c7e077e0716b5a05b002efcb7edf2587b71615d392f46bae6c450d65088eb1c0",
  "private": false,
  "record": {
    "abstract": "The evolutionary origin of universal statistics in biochemical reaction\nnetwork is studied, to explain the power-law distribution of reaction links and\nthe power-law distributions of chemical abundances. Using cell models with\ncatalytic reaction network, we find evidence that the power-law distribution in\nabundances of chemicals emerges by the selection of cells with higher growth\nspeeds. Through the further evolution, this inhomogeneity in chemical\nabundances is shown to be embedded in the distribution of links, leading to the\npower-law distribution. These findings provide novel insights into the nature\nof network evolution in living cells.",
    "arxiv_id": "q-bio/0504032",
    "authors": [
      "Chikara Furusawa",
      "Kunihiko Kaneko"
    ],
    "categories": [
      "q-bio.PE",
      "q-bio.MN"
    ],
    "doi": "10.1103/PhysRevE.73.011912",
    "title": "Evolutionary origin of power-laws in Biochemical Reaction Network;   embedding abundance distribution into topology",
    "url": "https://arxiv.org/abs/q-bio/0504032"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "97db6d86-9b84-4565-a1f2-c7550147b432",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}