Evidence map›Paper›PMID 12524300›Full record

ArticleBiophysical journal2003

Universality classes in folding times of proteins.

Marek Cieplak, Trinh Xuan Hoang

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in Biophysical journal, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Evidence for the principle of minimal frustration in the evolution of protein folding landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Basis for a neuronal version of Grover's quantum algorithm.Frontiers in molecular neuroscience · 2014
    Article
  9. Article
  10. Article
  11. Dynamic prestress in a globular protein.PLoS computational biology · 2012
    Article
  12. BSDB: the biomolecule stretching database.Nucleic acids research · 2011
    Article
  13. Article
  14. A Stevedore's protein knot.PLoS computational biology · 2010
    Article
  15. Article
  16. Article
  17. Dodging the crisis of folding proteins with knots.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  18. Insights from coarse-grained Gō models for protein folding and dynamics.International journal of molecular sciences · 2009
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marek CieplakInstitute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland. mc@decaf.ifpan.edu.pl
Trinh Xuan Hoang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics simulations in simplified models allow one to study the scaling properties of folding times for many proteins together under a controlled setting. We consider three variants of the Go models with different contact potentials and demonstrate scaling described by power laws and no correlation with the relative contact order parameter. We demonstrate existence of at least three kinetic universality classes that are correlated with the types of structure: the alpha-, alpha-beta-, and beta- proteins have the scaling exponents of approximately 1.7, 2.5, and 3.2, respectively. The three classes merge into one when the contact range is truncated at a reasonable value. We elucidate the role of the potential associated with the chirality of a protein.

Indexed as

Computer SimulationModels, MolecularProtein FoldingIsomerismKineticsProtein ConformationProteinsProtein Structure, TertiaryProteins

Identifiers

PMID12524300
PMCPMC1302628

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.