Evidence map›Paper›PMID 26833690›Full record

ReviewProtein science : a publication of the Protein Society2016

Classification of proteins with shared motifs and internal repeats in the ECOD database.

R Dustin Schaeffer, Lisa N Kinch, Yuxing Liao, Nick V Grishin

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Refinement and curation of homologous groups facilitated by structure prediction.Protein science : a publication of the Protein Society · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
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  8. Review
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  11. Article
  12. Article
  13. Article
  14. A sequence family database built on ECOD structural domains.Bioinformatics (Oxford, England) · 2018
    Article
  15. Article
  16. 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

4 authors.

R Dustin SchaefferHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.ORCID 0000-0001-6502-1425
Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.
Yuxing LiaoDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.
Nick V GrishinHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.

Funding

Computational methods for structural-functional studies of proteinsR01GM094575 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2010 to 2017
$2.4M
NIGMS NIH HHS R01 GM094575
6 · The paper itself

Abstract

Proteins and their domains evolve by a set of events commonly including the duplication and divergence of small motifs. The presence of short repetitive regions in domains has generally constituted a difficult case for structural domain classifications and their hierarchies. We developed the Evolutionary Classification Of protein Domains (ECOD) in part to implement a new schema for the classification of these types of proteins. Here we document the ways in which ECOD classifies proteins with small internal repeats, widespread functional motifs, and assemblies of small domain-like fragments in its evolutionary schema. We illustrate the ways in which the structural genomics project impacted the classification and characterization of new structural domains and sequence families over the decade.

Indexed as

Amino Acid MotifsDatabases, ProteinEvolution, MolecularModels, MolecularProtein DomainsProteinsProteomicsProteinsinternalprotein classificationprotein motifsrepeatsstructural bioinformaticsstructural genomics

Identifiers

PMID26833690
PMCPMC4918410

What OpenQuestion holds

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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.