{
  "annotation_id": "7a76cd99-32f0-4847-b15b-de8ac056c49e",
  "date_created": "2026-03-02T18:01:34.858000Z",
  "date_modified": "2026-03-02T18:01:34.858000Z",
  "file_hash": "74a1e42d5d639601340005d0c07832f13d0763c48016e817a055610c19ca6e2d",
  "private": false,
  "record": {
    "abstract": "We develop a class of models with which we simulate the assembly of particles\ninto T1 capsid-like objects using Newtonian dynamics. By simulating assembly\nfor many different values of system parameters, we vary the forces that drive\nassembly. For some ranges of parameters, assembly is facile, while for others,\nassembly is dynamically frustrated by kinetic traps corresponding to malformed\nor incompletely formed capsids. Our simulations sample many independent\ntrajectories at various capsomer concentrations, allowing for statistically\nmeaningful conclusions. Depending on subunit (i.e., capsomer) geometries,\nsuccessful assembly proceeds by several mechanisms involving binding of\nintermediates of various sizes. We discuss the relationship between these\nmechanisms and experimental evaluations of capsid assembly processes.",
    "arxiv_id": "q-bio/0511006",
    "authors": [
      "Michael F. Hagan",
      "David Chandler"
    ],
    "categories": [
      "q-bio.BM"
    ],
    "doi": "10.1529/biophysj.105.076851",
    "title": "Dynamic Pathways for Viral Capsid Assembly",
    "url": "https://arxiv.org/abs/q-bio/0511006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "313c34bd-e84b-4ed1-a627-2b8c808ab749",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}