Evidence map›Paper›PMID 25474468›Full record

ArticlePLoS computational biology2014

ECOD: an evolutionary classification of protein domains.

Hua Cheng, R Dustin Schaeffer, Yuxing Liao, Lisa N Kinch, Jimin Pei, Shuoyong Shi, Bong-Hyun Kim, Nick V Grishin

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers.

0numbers the graph read from it
0cells of the map it votes in
263citing 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

263 citing papers in PubMed.

  1. Article
  2. Article
  3. Systematic discovery of circular permutations across the protein universe using CIRPIN.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. The history of enzyme evolution embedded in metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Contrastive learning unites sequence and structure in a global representation of protein space.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Strategic Template Filtering Accelerates Fragment-Based Peptide Docking.Journal of chemical information and modeling · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Family-level specialization in protein domain insertion architectures.Protein science : a publication of the Protein Society · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Multivalent weak contacts shape chaperone-nascent protein interactions.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

203 more citing papers are in PubMed but not listed here.

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

8 authors.

Hua ChengHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
R Dustin SchaefferHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Yuxing LiaoDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Jimin PeiHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Shuoyong ShiDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Bong-Hyun KimDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Nick V GrishinHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America; Departments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.

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

Understanding the evolution of a protein, including both close and distant relationships, often reveals insight into its structure and function. Fast and easy access to such up-to-date information facilitates research. We have developed a hierarchical evolutionary classification of all proteins with experimentally determined spatial structures, and presented it as an interactive and updatable online database. ECOD (Evolutionary Classification of protein Domains) is distinct from other structural classifications in that it groups domains primarily by evolutionary relationships (homology), rather than topology (or "fold"). This distinction highlights cases of homology between domains of differing topology to aid in understanding of protein structure evolution. ECOD uniquely emphasizes distantly related homologs that are difficult to detect, and thus catalogs the largest number of evolutionary links among structural domain classifications. Placing distant homologs together underscores the ancestral similarities of these proteins and draws attention to the most important regions of sequence and structure, as well as conserved functional sites. ECOD also recognizes closer sequence-based relationships between protein domains. Currently, approximately 100,000 protein structures are classified in ECOD into 9,000 sequence families clustered into close to 2,000 evolutionary groups. The classification is assisted by an automated pipeline that quickly and consistently classifies weekly releases of PDB structures and allows for continual updates. This synchronization with PDB uniquely distinguishes ECOD among all protein classifications. Finally, we present several case studies of homologous proteins not recorded in other classifications, illustrating the potential of how ECOD can be used to further biological and evolutionary studies.

Indexed as

Databases, ProteinProtein Structure, TertiaryComputational BiologyEvolution, MolecularModels, MolecularProteinsProteins

Identifiers

PMID25474468
PMCPMC4256011

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.