Evidence map›Paper›PMID 23555232›Full record

ArticlePLoS computational biology2013

Folding pathways of a knotted protein with a realistic atomistic force field.

Silvio a Beccara, Tatjana Škrbić, Roberto Covino, Cristian Micheletti, Pietro Faccioli

Abstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Is There a Functional Role for the Knotted Topology in Protein UCH-L1?Journal of chemical information and modeling · 2024
    Article
  3. Article
  4. Knotted artifacts in predicted 3D RNA structures.PLoS computational biology · 2024
    Article
  5. Article
  6. Folding kinetics of an entangled protein.PLoS computational biology · 2023
    Article
  7. AlphaFold predicts novel human proteins with knots.Protein science : a publication of the Protein Society · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Topological descriptions of protein folding.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Review
  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

5 authors.

Silvio a BeccaraLISC, Bruno Kessler Foundation, Trento, Italy.
Tatjana Škrbić
Roberto Covino
Cristian Micheletti
Pietro Faccioli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report on atomistic simulation of the folding of a natively-knotted protein, MJ0366, based on a realistic force field. To the best of our knowledge this is the first reported effort where a realistic force field is used to investigate the folding pathways of a protein with complex native topology. By using the dominant-reaction pathway scheme we collected about 30 successful folding trajectories for the 82-amino acid long trefoil-knotted protein. Despite the dissimilarity of their initial unfolded configuration, these trajectories reach the natively-knotted state through a remarkably similar succession of steps. In particular it is found that knotting occurs essentially through a threading mechanism, involving the passage of the C-terminal through an open region created by the formation of the native [Formula: see text]-sheet at an earlier stage. The dominance of the knotting by threading mechanism is not observed in MJ0366 folding simulations using simplified, native-centric models. This points to a previously underappreciated role of concerted amino acid interactions, including non-native ones, in aiding the appropriate order of contact formation to achieve knotting.

Indexed as

AlgorithmsArchaeal ProteinsComputational BiologyMolecular Dynamics SimulationMonte Carlo MethodProtein ConformationProtein FoldingThermodynamicsArchaeal Proteins

Identifiers

PMID23555232
PMCPMC3605060

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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.