{
  "annotation_id": "8f73bc52-2705-4c71-b258-08f90df073e2",
  "date_created": "2026-03-02T18:00:43.435000Z",
  "date_modified": "2026-03-02T18:00:43.435000Z",
  "file_hash": "e73930c35267118e538affed0e154293621450d130fc11f68ea764d80df212cf",
  "private": false,
  "record": {
    "abstract": "Understanding functional associations among genes discovered in sequencing\nprojects is a key issue in post-genomic biology. However, reliable\ninterpretation of the protein interaction data has been difficult. In this\nwork, we show that if two proteins share significantly larger number of common\ninteraction partners than random, they have close functional associations.\nAnalysis of publicly available data from Saccharomyces cerevisiae reveals more\nthan 2800 reliable functional associations, 29% of which involve at least one\nunannotated protein. By further analyzing these associations, we derive\ntentative functions for 81 unannotated proteins with high certainty.",
    "arxiv_id": "physics/0303027",
    "authors": [
      "Manoj Pratim Samanta",
      "Shoudan Liang"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.soft",
      "cond-mat.stat-mech",
      "physics.data-an",
      "q-bio.MN"
    ],
    "title": "Redundancies in Large-scale Protein Interaction Networks",
    "url": "https://arxiv.org/abs/physics/0303027"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "66b9f635-6ed8-454f-9602-ed38ca34902e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}