{
  "annotation_id": "97c9949f-0ab8-421f-aaf6-3a18edc556e3",
  "date_created": "2026-03-02T18:01:35.301000Z",
  "date_modified": "2026-03-02T18:01:35.301000Z",
  "file_hash": "12c4bb4002c21d4436195f055625f724afd29568b5dd8cb8ac5847cde7bdfa72",
  "private": false,
  "record": {
    "abstract": "The large-scale shape and function of metabolic networks are intriguing\ntopics of systems biology. Such networks are on one hand commonly regarded as\nmodular (i.e. built by a number of relatively independent subsystems), but on\nthe other hand they are robust in a way not expected of a purely modular\nsystem. To address this question we carefully discuss the partition of\nmetabolic networks into subnetworks. The practice of preprocessing such\nnetworks by removing the most abundant substrates, \"currency metabolites,\" is\nformalized into a network-based algorithm. We study partitions for metabolic\nnetworks of many organisms and find cores of currency metabolites and modular\nperipheries of what we call \"commodity metabolites.\" The networks are found to\nbe more modular than random networks but far from perfectly divisible into\nmodules. We argue that cross-modular edges are the key for the robustness of\nmetabolism.",
    "arxiv_id": "q-bio/0603038",
    "authors": [
      "Mikael Huss",
      "Petter Holme"
    ],
    "categories": [
      "q-bio.MN",
      "cond-mat.dis-nn"
    ],
    "doi": "10.1049/iet-syb:20060077",
    "journal_ref": "IET Systems Biology 1, 280-285 (2007)",
    "title": "Currency and commodity metabolites: Their identification and relation to   the modularity of metabolic networks",
    "url": "https://arxiv.org/abs/q-bio/0603038"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "8ea012d6-48c0-49f5-8f59-90aca1d17fff",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}