Evidence map›Paper›PMID 39546374›Full record

ArticleBioinformatics (Oxford, England)2024

Protein structure alignment by Reseek improves sensitivity to remote homologs.

Robert C Edgar

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. 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
–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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026
    Review
  8. Exploring the Structural Lexicon of the Proteome via Metric Geometry.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. 3-D substructure search by transitive closure in AlphaFold database.Protein science : a publication of the Protein Society · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. 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.

Robert C EdgarIndependent Scientist, Corte Madera, CA 94925, United States.ORCID 0000-0001-7355-2541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationRecent breakthroughs in protein fold prediction from amino acid sequences have unleashed a deluge of new structures, presenting new opportunities and challenges to bioinformatics.

resultsReseek is a novel protein structure alignment algorithm based on sequence alignment where each residue in the protein backbone is represented by a letter in a "mega-alphabet" of 85 899 345 920 (∼1011) distinct states. Reseek achieves substantially improved sensitivity to remote homologs compared to state-of-the-art methods including DALI, TMalign, and Foldseek, with comparable speed to Foldseek, the fastest previous method. Scaling to large databases of AI-predicted folds is analyzed. Foldseek E-values are shown to be under-estimated by several orders of magnitude, while Reseek E-values are in good agreement with measured error rates. AVAILABILITY AND IMPLEMENTATION: https://github.com/rcedgar/reseek.

Indexed as

AlgorithmsProteinsSequence AlignmentAmino Acid SequenceComputational BiologyDatabases, ProteinProtein ConformationProtein FoldingSequence Analysis, ProteinSoftwareProteins

Identifiers

PMID39546374
PMCPMC11601161

What OpenQuestion holds

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LicenceCC BY
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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.