dorsal/arxiv
View SchemaFunctional modes of proteins are among the most robust ones
| Authors | Samuel Nicolay, Yves-Henri Sanejouand |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0509020 |
| URL | https://arxiv.org/abs/q-bio/0509020 |
| DOI | 10.1103/PhysRevLett.96.078104 |
| Journal | Phys. Rev. Letters vol. 96 078104 (2006) |
Abstract
It is shown that a small subset of modes which are likely to be involved in protein functional motions of large amplitude can be determined by retaining the most robust normal modes obtained using different protein models. This result should prove helpful in the context of several applications proposed recently, like for solving difficult molecular replacement problems or for fitting atomic structures into low-resolution electron density maps. Moreover, it may also pave the way for the development of methods allowing to predict such motions accurately.
{
"annotation_id": "2554c9bc-e515-4a20-b507-de9d9fedcdd5",
"date_created": "2026-03-02T18:01:31.983000Z",
"date_modified": "2026-03-02T18:01:31.983000Z",
"file_hash": "3cccad89d3939e07e88d035237c3d629ece2d3ec49549bda772c611e18bf8e76",
"private": false,
"record": {
"abstract": "It is shown that a small subset of modes which are likely to be involved in\nprotein functional motions of large amplitude can be determined by retaining\nthe most robust normal modes obtained using different protein models. This\nresult should prove helpful in the context of several applications proposed\nrecently, like for solving difficult molecular replacement problems or for\nfitting atomic structures into low-resolution electron density maps. Moreover,\nit may also pave the way for the development of methods allowing to predict\nsuch motions accurately.",
"arxiv_id": "q-bio/0509020",
"authors": [
"Samuel Nicolay",
"Yves-Henri Sanejouand"
],
"categories": [
"q-bio.BM"
],
"doi": "10.1103/PhysRevLett.96.078104",
"journal_ref": "Phys. Rev. Letters vol. 96 078104 (2006)",
"title": "Functional modes of proteins are among the most robust ones",
"url": "https://arxiv.org/abs/q-bio/0509020"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "c4512a65-af17-4a41-b0b0-ae278c5af3c9",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}