Evidence map›Paper›PMID 25917548›Full record

ArticleProteins2015

Manual classification strategies in the ECOD database.

Hua Cheng, Yuxing Liao, R Dustin Schaeffer, Nick V Grishin

Abstract read
In one paragraph

Article in Proteins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. The history of enzyme evolution embedded in metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Review
  6. Refinement and curation of homologous groups facilitated by structure prediction.Protein science : a publication of the Protein Society · 2025
    Article
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  8. Article
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  10. Article
  11. Article
  12. Article
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  14. Retracing the evolution of a modern periplasmic binding protein.Protein science : a publication of the Protein Society · 2023
    Article
  15. Article
  16. Classification of domains in predicted structures of the human proteome.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
  18. An evolutionary history of the CoA-binding protein Nat/Ivy.Protein science : a publication of the Protein Society · 2022
    Review
  19. Article
  20. 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

4 authors.

Hua ChengHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390.
Yuxing LiaoDepartment of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, 75390.
R Dustin SchaefferHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390.
Nick V GrishinHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, 75390.

Funding

Computational methods for structural-functional studies of proteinsR01GM094575 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2010 to 2017
$2.4M
Howard Hughes Medical InstituteNIGMS NIH HHS GM094575NIGMS NIH HHS R01 GM094575
6 · The paper itself

Abstract

ECOD (Evolutionary Classification Of protein Domains) is a comprehensive and up-to-date protein structure classification database. The majority of new structures released from the PDB (Protein Data Bank) each week already have close homologs in the ECOD hierarchy and thus can be reliably partitioned into domains and classified by software without manual intervention. However, those proteins that lack confidently detectable homologs require careful analysis by experts. Although many bioinformatics resources rely on expert curation to some degree, specific examples of how this curation occurs and in what cases it is necessary are not always described. Here, we illustrate the manual classification strategy in ECOD by example, focusing on two major issues in protein classification: domain partitioning and the relationship between homology and similarity scores. Most examples show recently released and manually classified PDB structures. We discuss multi-domain proteins, discordance between sequence and structural similarities, difficulties with assessing homology with scores, and integral membrane proteins homologous to soluble proteins. By timely assimilation of newly available structures into its hierarchy, ECOD strives to provide a most accurate and updated view of the protein structure world as a result of combined computational and expert-driven analysis.

Indexed as

AlgorithmsDatabases, ProteinTerminology as TopicAmino Acid SequenceAnimalsComputational BiologyDimethylallyltranstransferaseEvolution, MolecularHumansHydrogen BondingHydrophobic and Hydrophilic InteractionsModels, MolecularMolecular Sequence DataNeuropeptidesNeurotoxinsProtein Structure, SecondaryDimethylallyltranstransferasemolt-inhibiting hormone, crayfishNeuropeptidesNeurotoxinsSpider VenomsTaITX-1classificationdatabasedomainevolutionhomologyproteinsequencestructure

Identifiers

PMID25917548
PMCPMC4624060

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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.