{
  "annotation_id": "4095738b-ecf3-4690-9015-5ba3b16eee25",
  "date_created": "2026-03-02T18:00:43.520000Z",
  "date_modified": "2026-03-02T18:00:43.520000Z",
  "file_hash": "fcbc46d0ab5cbe5a07b340a3e06ec00c0977789c5a173aedb943d2181f8f8789",
  "private": false,
  "record": {
    "abstract": "A computational method is developed to work on an inverse equilibrium problem\nwith an interest towards applications with protein folding. In general, we are\ngiven a set of equilibrium confgiurations and want to derive the most probable\npotential function that results in these configurations. The method is applied\nto polymer simulations and a simple model of proteins using protein structures\nobtained from the Protein Data Bank http://www.rcsb.org/pdb The resulting\nenergy function is tested on a few decoy sets with limited success.",
    "arxiv_id": "physics/0306030",
    "authors": [
      "John P. Donohue"
    ],
    "categories": [
      "physics.bio-ph",
      "physics.comp-ph",
      "q-bio.QM"
    ],
    "title": "An Inverse Equilibrium Maximum Entropy Algorithm Applied to Proteins",
    "url": "https://arxiv.org/abs/physics/0306030"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "541c5d91-1057-4ec1-9edb-4dded8a7fa06",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}