{
  "annotation_id": "baf16922-a772-4384-b06c-4f4259db9c77",
  "date_created": "2026-03-02T18:01:31.528000Z",
  "date_modified": "2026-03-02T18:01:31.528000Z",
  "file_hash": "0796ba0822901ed81afa996837c97a1b8e4ef6dabd38a3724d115ab7c97f5d01",
  "private": false,
  "record": {
    "abstract": "This paper deals with a new model for clonal network dynamics. We describe in\ndetail this model and derive special equations governing immune system dynamics\nbased on the general gradient type principles that can be inherent to a wide\nclass of real living objects. A special clonal network is modeled by two\nsymmetric projector matrix variables simultaneously taking into account both\nasymmetry of the interaction to each other and adaptation states that can be\nrealized owing to possible idiotypic clonal suppresions. We perform computer\nsimulations of the model dynamics for some simple cases of relatively low\ndimension, paying special attention to the dynamics of amounts of activated\nreceptor strings within clonal network.",
    "arxiv_id": "q-bio/0502040",
    "authors": [
      "V. V. Gafiychuk",
      "A. K. Prykarpatsky"
    ],
    "categories": [
      "q-bio.QM",
      "q-bio.MN"
    ],
    "title": "A new model for the immune clonal networks",
    "url": "https://arxiv.org/abs/q-bio/0502040"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d90caf8f-9a1b-4c92-93f2-a8758f51afc7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}