{
  "annotation_id": "5e1b7e6c-e265-444f-839b-c61a6686c116",
  "date_created": "2026-03-02T18:01:31.599000Z",
  "date_modified": "2026-03-02T18:01:31.599000Z",
  "file_hash": "3a64cfce82e69a6ed6fce7999493271a0538667ab49042e8c33c5c5cb7ce1bfd",
  "private": false,
  "record": {
    "abstract": "Growth patterns generated by filamentous organisms (e.g. actinomycetes and\nfungi) involve spatial and temporal dynamics at different length scales.\nSeveral mathematical models have been proposed in the last thirty years to\naddress these specific dynamics. Phenomenological macroscopic models are able\nto reproduce the temporal dynamics of colony-related quantities (e.g. colony\ngrowth rate) but do not explain the development of mycelial morphologies nor\nthe single hyphal growth. Reaction-diffusion models are a bridge between\nmacroscopic and microscopic worlds as they produce mean-field approximations of\nsingle-cell behaviors. Microscopic models describe intracellular events, such\nas branching, septation and translocation. Finally, completely discrete models,\ncellular automata, simulate the microscopic interaction among cells to\nreproduce emergent cooperative behaviors of large colonies. In this comment, we\nreview a selection of models for each of these length scales, stressing their\nadvantages and shortcomings.",
    "arxiv_id": "q-bio/0402004",
    "authors": [
      "Michele Bezzi",
      "Andrea Ciliberto"
    ],
    "categories": [
      "q-bio.PE",
      "q-bio.CB"
    ],
    "journal_ref": "Comments on Theoretical Biology, 8: 563 585, 2003",
    "title": "Mathematical modeling of filamentous microorganisms",
    "url": "https://arxiv.org/abs/q-bio/0402004"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d3b84916-2b3f-4743-935d-7bee32f813d3",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}