{
  "annotation_id": "bf01a1b1-3286-40bb-8124-5ee211f282ec",
  "date_created": "2026-03-02T18:01:35.432000Z",
  "date_modified": "2026-03-02T18:01:35.432000Z",
  "file_hash": "3632f5da7bec860a198168ebb9c3f4feccdc4e40dc3219160a62d2cdee096fd0",
  "private": false,
  "record": {
    "abstract": "Biological information processing as implemented by regulatory and signaling\nnetworks in living cells requires sufficient specificity of molecular\ninteraction to distinguish signals from one another, but much of regulation and\nsignaling involves somewhat fuzzy and promiscuous recognition of molecular\nsequences and structures, which can leave systems vulnerable to crosstalk. This\npaper examines a simple computational model of protein-protein interactions\nwhich reveals both a sharp onset of crosstalk and a fragmentation of the\nneutral network of viable solutions as more proteins compete for regions of\nsequence space, revealing intrinsic limits to reliable signaling in the face of\npromiscuity. These results suggest connections to both phase transitions in\nconstraint satisfaction problems and coding theory bounds on the size of\ncommunication codes.",
    "arxiv_id": "q-bio/0702042",
    "authors": [
      "Christopher R. Myers"
    ],
    "categories": [
      "q-bio.BM",
      "q-bio.MN"
    ],
    "doi": "10.1049/iet-syb:20080076",
    "journal_ref": "IET Systems Biology 2(5), 304-312 (2008)",
    "title": "Satisfiability, sequence niches, and molecular codes in cellular   signaling",
    "url": "https://arxiv.org/abs/q-bio/0702042"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3edff0f2-5626-4ba5-8da3-85097bfe856d",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}