{
  "annotation_id": "63962228-d185-4247-97bf-0d1c0629905a",
  "date_created": "2026-03-02T18:01:31.936000Z",
  "date_modified": "2026-03-02T18:01:31.936000Z",
  "file_hash": "12aafdd82388cddc32fd452d364f4af89f5c360b5dd092d773d78c783db3f696",
  "private": false,
  "record": {
    "abstract": "Various biological system models have been proposed in systems biology, which\nare based on the complex biological reactions kinetic of various components.\nThese models are not practical because we lack of kinetic information. In this\npaper, it is found that the enzymatic reaction and multi-order reaction rate is\noften controlled by the transport of the reactants in biological systems. A\nComputational Fluid Dynamic (CFD) approach, which is based on transport of the\ncomponents and kinetics of biological reactions, is introduced for biological\nsystem modeling. We apply this approach to a biological wastewater treatment\nsystem for the study of metabolism of organic carbon substrates and the\npopulation of microbial. The results show that CFD model coupled with reaction\nkinetics is more accurate and more feasible than kinetic models for biological\nsystem modeling.",
    "arxiv_id": "q-bio/0508006",
    "authors": [
      "Weidong Huang",
      "Chundu Wu",
      "Bingjia Xiao",
      "Weidong Xia"
    ],
    "categories": [
      "q-bio.QM",
      "q-bio.PE"
    ],
    "title": "Computational Fluid Dynamic Approach for Biological System Modeling",
    "url": "https://arxiv.org/abs/q-bio/0508006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "9ae94a37-1c12-429b-afa4-81a9383acf18",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}