Evidence map›Paper›PMID 30845191›Full record

ArticlePLoS computational biology2019

A new clustering and nomenclature for beta turns derived from high-resolution protein structures.

Maxim Shapovalov, Slobodan Vucetic, Roland L Dunbrack

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. 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

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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

27 citing papers in PubMed.

  1. Thermodynamic and Structural Determinants of Ni(II), Co(II), and Zn(II) Binding to an XHXXHXH Peptide Motif.Journal of peptide science : an official publication of the European Peptide Society · 2026
    Article
  2. Article
  3. Proline/sidechain C-H/O interactions stabilizePhysical chemistry chemical physics : PCCP · 2026
    Article
  4. Structural and functional properties ofFood production, processing and nutrition · 2026
    Article
  5. Article
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  11. Geometric descriptors for beta turns.Protein science : a publication of the Protein Society · 2024
    Article
  12. Article
  13. Emerging role of carbonyl-carbonyl interactions in the classification of beta turns.Protein science : a publication of the Protein Society · 2024
    Article
  14. Article
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  16. Article
  17. A Perspective on the (Rise and Fall of) Protein β-Turns.International journal of molecular sciences · 2022
    Review
  18. Article
  19. Article
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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

3 authors.

Maxim ShapovalovFox Chase Cancer Center, Philadelphia PA, United States of America.ORCID 0000-0002-9349-7647
Slobodan VuceticDepartment of Computer and Information Sciences, Temple University, Philadelphia PA, United States of America.
Roland L DunbrackFox Chase Cancer Center, Philadelphia PA, United States of America.ORCID 0000-0001-7674-6667

Funding

Structural Bioinformatics of Proteins and Protein Complexes and Applications to Cancer BiologyR35GM122517 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI ROLAND L DUNBRACK · 2017 to 2026
$6.3M
NIGMS NIH HHS R35 GM122517
6 · The paper itself

Abstract

Protein loops connect regular secondary structures and contain 4-residue beta turns which represent 63% of the residues in loops. The commonly used classification of beta turns (Type I, I', II, II', VIa1, VIa2, VIb, and VIII) was developed in the 1970s and 1980s from analysis of a small number of proteins of average resolution, and represents only two thirds of beta turns observed in proteins (with a generic class Type IV representing the rest). We present a new clustering of beta-turn conformations from a set of 13,030 turns from 1074 ultra-high resolution protein structures (≤1.2 Å). Our clustering is derived from applying the DBSCAN and k-medoids algorithms to this data set with a metric commonly used in directional statistics applied to the set of dihedral angles from the second and third residues of each turn. We define 18 turn types compared to the 8 classical turn types in common use. We propose a new 2-letter nomenclature for all 18 beta-turn types using Ramachandran region names for the two central residues (e.g., 'A' and 'D' for alpha regions on the left side of the Ramachandran map and 'a' and 'd' for equivalent regions on the right-hand side; classical Type I turns are 'AD' turns and Type I' turns are 'ad'). We identify 11 new types of beta turn, 5 of which are sub-types of classical beta-turn types. Up-to-date statistics, probability densities of conformations, and sequence profiles of beta turns in loops were collected and analyzed. A library of turn types, BetaTurnLib18, and cross-platform software, BetaTurnTool18, which identifies turns in an input protein structure, are freely available and redistributable from dunbrack.fccc.edu/betaturn and github.com/sh-maxim/BetaTurn18. Given the ubiquitous nature of beta turns, this comprehensive study updates understanding of beta turns and should also provide useful tools for protein structure determination, refinement, and prediction programs.

Indexed as

Terminology as TopicAlgorithmsAmino AcidsAmino Acid SequenceCluster AnalysisProtein ConformationProteinsReproducibility of ResultsAmino AcidsProteins

Identifiers

PMID30845191
PMCPMC6424458

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LicenceCC BY
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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.