Evidence map›Paper›PMID 27627963›Full record

ArticleScientific reports2016

Extension of the classical classification of β-turns.

Alexandre G de Brevern

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Probing theRSC chemical biology · 2026
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  11. Trimethylamine-N-oxide depletes urea in a peptide solvation shell.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Emerging role of carbonyl-carbonyl interactions in the classification of beta turns.Protein science : a publication of the Protein Society · 2024
    Article
  13. An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  19. Integration of molecular modelling andFrontiers in cellular and infection microbiology · 2023
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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

1 author.

Alexandre G de BrevernINSERM, U 1134, DSIMB, F-75739 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional properties of a protein primarily depend on its three-dimensional (3D) structure. These properties have classically been assigned, visualized and analysed on the basis of protein secondary structures. The β-turn is the third most important secondary structure after helices and β-strands. β-turns have been classified according to the values of the dihedral angles φ and ψ of the central residue. Conventionally, eight different types of β-turns have been defined, whereas those that cannot be defined are classified as type IV β-turns. This classification remains the most widely used. Nonetheless, the miscellaneous type IV β-turns represent 1/3(rd) of β-turn residues. An unsupervised specific clustering approach was designed to search for recurrent new turns in the type IV category. The classical rules of β-turn type assignment were central to the approach. The four most frequently occurring clusters defined the new β-turn types. Unexpectedly, these types, designated IV1, IV2, IV3 and IV4, represent half of the type IV β-turns and occur more frequently than many of the previously established types. These types show convincing particularities, in terms of both structures and sequences that allow for the classical β-turn classification to be extended for the first time in 25 years.

Indexed as

AlgorithmsProtein ConformationHumansModels, MolecularProteinsProteins

Identifiers

PMID27627963
PMCPMC5024104

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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.