Evidence map›Paper›PMID 23758291›Full record

ArticleThe journal of physical chemistry. B2013

Detecting repetitions and periodicities in proteins by tiling the structural space.

R Gonzalo Parra, Rocío Espada, Ignacio E Sánchez, Manfred J Sippl, Diego U Ferreiro

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed.

  1. Article
  2. Frustration in physiology and molecular medicine.Molecular aspects of medicine · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Protein Repeats from First Principles.Scientific reports · 2016
    Article
  14. Article
  15. Article
  16. Tandem Repeats in Proteins: Prediction Algorithms and Biological Role.Frontiers in bioengineering and biotechnology · 2015
    Review
  17. Article
  18. Frustration in biomolecules.Quarterly reviews of biophysics · 2014
    Review
  19. Article
  20. NMR contributions to structural dynamics studies of intrinsically disordered proteins.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014
    Review
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.

R Gonzalo ParraProtein Physiology Lab, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN , Buenos Aires, Argentina.
Rocío Espada
Ignacio E Sánchez
Manfred J Sippl
Diego U Ferreiro

Funding

Austrian Science Fund FWF P 21294
6 · The paper itself

Abstract

The notion of energy landscapes provides conceptual tools for understanding the complexities of protein folding and function. Energy landscape theory indicates that it is much easier to find sequences that satisfy the "Principle of Minimal Frustration" when the folded structure is symmetric (Wolynes, P. G. Symmetry and the Energy Landscapes of Biomolecules. Proc. Natl. Acad. Sci. U.S.A. 1996, 93, 14249-14255). Similarly, repeats and structural mosaics may be fundamentally related to landscapes with multiple embedded funnels. Here we present analytical tools to detect and compare structural repetitions in protein molecules. By an exhaustive analysis of the distribution of structural repeats using a robust metric, we define those portions of a protein molecule that best describe the overall structure as a tessellation of basic units. The patterns produced by such tessellations provide intuitive representations of the repeating regions and their association toward higher order arrangements. We find that some protein architectures can be described as nearly periodic, while in others clear separations between repetitions exist. Since the method is independent of amino acid sequence information, we can identify structural units that can be encoded by a variety of distinct amino acid sequences.

Indexed as

Amino Acid MotifsModels, MolecularProtein FoldingProteinsProtein Structure, TertiaryThermodynamicsProteins

Identifiers

PMID23758291
PMCPMC3807821

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Registered trials

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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.