{
  "annotation_id": "1feda5fb-6bf3-4a0f-b05c-c95272da0439",
  "date_created": "2026-03-02T18:01:21.778000Z",
  "date_modified": "2026-03-02T18:01:21.778000Z",
  "file_hash": "8e93fa03f7a5ab40300df12770daa0a9e35dd81644a3dc3ab99dddc6daed7095",
  "private": false,
  "record": {
    "abstract": "We present a new, biased Monte Carlo scheme for simulating complex, cyclic\npeptides. Backbone atoms are equilibrated with a biased rebridging scheme, and\nside-chain atoms are equilibrated with a look-ahead configurational bias Monte\nCarlo. Parallel tempering is shown to be an important ingredient in the\nconstruction of an efficient approach.",
    "arxiv_id": "physics/9810029",
    "authors": [
      "Minghong G. Wu",
      "Michael W. Deem"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.stat-mech",
      "physics.comp-ph"
    ],
    "doi": "10.1080/002689799163659",
    "title": "Efficient Monte Carlo Methods for Cyclic Peptides",
    "url": "https://arxiv.org/abs/physics/9810029"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "1831c3f6-f5d6-4d54-8a75-b2f60d443be1",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}