Evidence map›Paper›PMID 26442257›Full record

ReviewFrontiers in bioengineering and biotechnology2015

Tandem Repeats in Proteins: Prediction Algorithms and Biological Role.

Marco Pellegrini

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. DbStRiPs: Database of structural repeats in proteins.Protein science : a publication of the Protein Society · 2022
    Article
  6. Article
  7. Improved RAD51 binders through motif shuffling based on the modularity of BRC repeats.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Frontiers in microbiology · 2017
    Article
  16. Article
  17. Classification of proteins with shared motifs and internal repeats in the ECOD database.Protein science : a publication of the Protein Society · 2016
    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

1 author at 1 institution in 1 country.

Marco PellegriniLaboratory for Integrative Systems Medicine (LISM), Istituto di Informatica e Telematica, and Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche , Pisa , Italy.
Institute of Informatics and Telematics · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tandem repetitions in protein sequence and structure is a fascinating subject of research which has been a focus of study since the late 1990s. In this survey, we give an overview on the multi-faceted aspects of research on protein tandem repeats (PTR for short), including prediction algorithms, databases, early classification efforts, mechanisms of PTR formation and evolution, and synthetic PTR design. We also touch on the rather open issue of the relationship between PTR and flexibility (or disorder) in proteins. Detection of PTR either from protein sequence or structure data is challenging due to inherent high (biological) signal-to-noise ratio that is a key feature of this problem. As early in silico analytic tools have been key enablers for starting this field of study, we expect that current and future algorithmic and statistical breakthroughs will have a high impact on the investigations of the biological role of PTR.

Indexed as

biological significanceproteinsprotein TR detection algorithmsprotein TR propertiestandem repeats

Identifiers

PMID26442257
PMCPMC4585158
OpenAlexW1831892352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.