Evidence map›Paper›PMID 20421995›Full record

ArticlePLoS computational biology2010

Structural characteristics of novel protein folds.

Narcis Fernandez-Fuentes, Joseph M Dybas, Andras Fiser

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. 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. Review
  3. Review
  4. Assessing the functional impact of protein binding site definition.Protein science : a publication of the Protein Society · 2024
    Article
  5. Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Evolution of Intrinsic Disorder in Protein Loops.Life (Basel, Switzerland) · 2023
    Article
  7. SBILib: a handle for protein modeling and engineering.Bioinformatics (Oxford, England) · 2023
    Article
  8. Article
  9. De novo protein fold design through sequence-independent fragment assembly simulations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Protein-protein interaction prediction with deep learning: A comprehensive review.Computational and structural biotechnology journal · 2022
    Review
  12. Article
  13. ProMod3-A versatile homology modelling toolbox.PLoS computational biology · 2021
    Article
  14. Article
  15. Article
  16. Complex evolutionary footprints revealed in an analysis of reused protein segments of diverse lengths.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  17. Protein structural motifs in prediction and design.Current opinion in structural biology · 2017
    Review
  18. Article
  19. Tertiary alphabet for the observable protein structural universe.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  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

3 authors.

Narcis Fernandez-FuentesUniversity of Leeds, Leeds Institute of Molecular Medicine Section of Experimental Therapeutics, St. James's University Hospital, Leeds, United Kingdom.
Joseph M Dybas
Andras Fiser

Funding

NIGMS NIH HHS GM62519-04
6 · The paper itself

Abstract

Folds are the basic building blocks of protein structures. Understanding the emergence of novel protein folds is an important step towards understanding the rules governing the evolution of protein structure and function and for developing tools for protein structure modeling and design. We explored the frequency of occurrences of an exhaustively classified library of supersecondary structural elements (Smotifs), in protein structures, in order to identify features that would define a fold as novel compared to previously known structures. We found that a surprisingly small set of Smotifs is sufficient to describe all known folds. Furthermore, novel folds do not require novel Smotifs, but rather are a new combination of existing ones. Novel folds can be typified by the inclusion of a relatively higher number of rarely occurring Smotifs in their structures and, to a lesser extent, by a novel topological combination of commonly occurring Smotifs. When investigating the structural features of Smotifs, we found that the top 10% of most frequent ones have a higher fraction of internal contacts, while some of the most rare motifs are larger, and contain a longer loop region.

Indexed as

Protein FoldingAmino Acid MotifsGenomicsModels, MolecularProtein ConformationProteinsProteins

Identifiers

PMID20421995
PMCPMC2858679

What OpenQuestion holds

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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.