Evidence map›Paper›PMID 17620603›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

Protein folding by zipping and assembly.

S Banu Ozkan, G Albert Wu, John D Chodera, Ken A Dill

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Protein folding - seeing is deceiving.Protein science : a publication of the Protein Society · 2021
    Article
  10. Review
  11. Article
  12. Experimental accuracy in protein structure refinement via molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. PRIMO: A Transferable Coarse-grained Force Field for Proteins.Journal of chemical theory and computation · 2013
    Article
  20. Review

11 more citing papers are in PubMed but not listed here.

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

4 authors.

S Banu OzkanDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143, USA.
G Albert Wu
John D Chodera
Ken A Dill

Funding

COMBINATORIAL STATISTICAL MECHANICS OF PROTEIN FOLDINGR01GM034993 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 1985 to 2009
$2.7M
NIGMS NIH HHS GM34993NIGMS NIH HHS R01 GM034993
6 · The paper itself

Abstract

How do proteins fold so quickly? Some denatured proteins fold to their native structures in only microseconds, on average, implying that there is a folding "mechanism," i.e., a particular set of events by which the protein short-circuits a broader conformational search. Predicting protein structures using atomically detailed physical models is currently challenging. The most definitive proof of a putative folding mechanism would be whether it speeds up protein structure prediction in physical models. In the zipping and assembly (ZA) mechanism, local structuring happens first at independent sites along the chain, then those structures either grow (zip) or coalescence (assemble) with other structures. Here, we apply the ZA search mechanism to protein native structure prediction by using the AMBER96 force field with a generalized Born/surface area implicit solvent model and sampling by replica exchange molecular dynamics. Starting from open denatured conformations, our algorithm, called the ZA method, converges to an average of 2.2 A from the Protein Data Bank native structures of eight of nine proteins that we tested, which ranged from 25 to 73 aa in length. In addition, experimental Phi values, where available on these proteins, are consistent with the predicted routes. We conclude that ZA is a viable model for how proteins physically fold. The present work also shows that physics-based force fields are quite good and that physics-based protein structure prediction may be practical, at least for some small proteins.

Indexed as

Protein FoldingAlgorithmsComputer SimulationDatabases, ProteinKineticsProteinsProtein Structure, SecondaryProteins

Identifiers

PMID17620603
PMCPMC1924571

What OpenQuestion holds

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Read underepoch 390

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.