dorsal/arxiv
View SchemaThermal denaturation and folding rates of single domain proteins: size matters
| Authors | Mai Suan Li, D. K. Klimov, D. Thirumalai |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0310020 |
| URL | https://arxiv.org/abs/q-bio/0310020 |
Abstract
We analyze the dependence of thermal denaturation transition and folding rates of globular proteins on the number of amino acid residues, N. Using lattice Go models we show that DeltaT/T_F ~ N^-1, where T_F is the folding transition temperature and DeltaT is the folding transition width. This finding is consistent with finite size effects expected for the systems undergoing a phase transition from a disordered to an ordered phase. The dependence of the folding rates k_F on N for lattice models and the dataset of 57 proteins and peptides shows that k_F = k_F^0 exp(-CN^beta) provides a good fit, if 0 < beta <= 2/3 and C is a constant. We find that k_F = k_F^0 exp(-1.1N^0.5) with k_F^0 =(0.4x10^-6 s)^-1 can estimate optimal protein folding rates to within an order of magnitude in most cases. By using this fit for a set of proteins with beta-sheet topology we find that k_F^0 is approximately equal to k_U^0, the prefactor for unfolding rates. The maximum ratio of k_U^0/k_F^0 is 10 for this class of proteins.
{
"annotation_id": "9cf9d57d-5c7e-40b8-91f8-e4bd7272b7b4",
"date_created": "2026-03-02T18:01:28.596000Z",
"date_modified": "2026-03-02T18:01:28.596000Z",
"file_hash": "33259751c1d2997a3a5bd88a113cd42e70c2c1c5202f0827d30752758f4ede09",
"private": false,
"record": {
"abstract": "We analyze the dependence of thermal denaturation transition and folding\nrates of globular proteins on the number of amino acid residues, N. Using\nlattice Go models we show that DeltaT/T_F ~ N^-1, where T_F is the folding\ntransition temperature and DeltaT is the folding transition width. This finding\nis consistent with finite size effects expected for the systems undergoing a\nphase transition from a disordered to an ordered phase. The dependence of the\nfolding rates k_F on N for lattice models and the dataset of 57 proteins and\npeptides shows that k_F = k_F^0 exp(-CN^beta) provides a good fit, if 0 \u003c beta\n\u003c= 2/3 and C is a constant. We find that k_F = k_F^0 exp(-1.1N^0.5) with k_F^0\n=(0.4x10^-6 s)^-1 can estimate optimal protein folding rates to within an order\nof magnitude in most cases. By using this fit for a set of proteins with\nbeta-sheet topology we find that k_F^0 is approximately equal to k_U^0, the\nprefactor for unfolding rates. The maximum ratio of k_U^0/k_F^0 is 10 for this\nclass of proteins.",
"arxiv_id": "q-bio/0310020",
"authors": [
"Mai Suan Li",
"D. K. Klimov",
"D. Thirumalai"
],
"categories": [
"q-bio.BM"
],
"title": "Thermal denaturation and folding rates of single domain proteins: size matters",
"url": "https://arxiv.org/abs/q-bio/0310020"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "e555aa35-c16a-4b54-992f-d305c1fa05b6",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}