{
  "annotation_id": "8b670749-f475-410d-a3b3-9d0864da8d27",
  "date_created": "2026-03-02T18:01:32.297000Z",
  "date_modified": "2026-03-02T18:01:32.297000Z",
  "file_hash": "3d8009b94a7b3b2f4de280b0947ec222ce7ad823a18078b916a6875f51ad45c5",
  "private": false,
  "record": {
    "abstract": "We present a self-consistent field approximation to the problem of the\ngenetic switch composed of two mutually repressing/activating genes. The\nprotein and DNA state dynamics are treated stochastically and on equal footing.\nIn this approach the mean influence of the proteomic cloud created by one gene\non the action of another is self-consistently computed. Within this\napproximation a broad range of stochastic genetic switches may be solved\nexactly in terms of finding the probability distribution and its moments. A\nmuch larger class of problems, such as genetic networks and cascades also\nremain exactly solvable with this approximation. We discuss in depth certain\nspecific types of basic switches, which are used by biological systems and\ncompare their behavior to the expectation for a deterministic switch.",
    "arxiv_id": "q-bio/0407041",
    "authors": [
      "Aleksandra M. Walczak",
      "Masaki Sasai",
      "Peter G. Wolynes"
    ],
    "categories": [
      "q-bio.MN",
      "cond-mat.stat-mech",
      "q-bio.GN"
    ],
    "doi": "10.1529/biophysj.104.050666",
    "title": "Self consistent proteomic field theory of stochastic gene switches",
    "url": "https://arxiv.org/abs/q-bio/0407041"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c1968ed3-24c9-4443-9100-a4287dee4ffd",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}