Evidence map›Paper›PMID 29078314›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Complex evolutionary footprints revealed in an analysis of reused protein segments of diverse lengths.

Sergey Nepomnyachiy, Nir Ben-Tal, Rachel Kolodny

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. 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
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  2. Review
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  5. Science of the gaps.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  6. Article
  7. In silico evolution of globular protein folds from random sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Review
  10. Protein language models learn evolutionary statistics of interacting sequence motifs.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Reused Protein Segments Linked to Functional Dynamics.Molecular biology and evolution · 2024
    Article
  14. Review
  15. Review
  16. Retracing the evolution of a modern periplasmic binding protein.Protein science : a publication of the Protein Society · 2023
    Article
  17. Article
  18. Fluid protein fold space and its implications.BioEssays : news and reviews in molecular, cellular and developmental biology · 2023
    Article
  19. Article
  20. Creative destruction: New protein folds from old.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sergey NepomnyachiyDepartment of Biochemistry and Molecular Biochemistry, George S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv 69978, Israel.
Nir Ben-TalDepartment of Biochemistry and Molecular Biochemistry, George S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv 69978, Israel; bental@ashtoret.tau.ac.il trachel@cs.haifa.ac.il.
Rachel KolodnyDepartment of Computer Science, University of Haifa, Mount Carmel 31905, Israel bental@ashtoret.tau.ac.il trachel@cs.haifa.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins share similar segments with one another. Such "reused parts"-which have been successfully incorporated into other proteins-are likely to offer an evolutionary advantage over de novo evolved segments, as most of the latter will not even have the capacity to fold. To systematically explore the evolutionary traces of segment "reuse" across proteins, we developed an automated methodology that identifies reused segments from protein alignments. We search for "themes"-segments of at least 35 residues of similar sequence and structure-reused within representative sets of 15,016 domains [Evolutionary Classification of Protein Domains (ECOD) database] or 20,398 chains [Protein Data Bank (PDB)]. We observe that theme reuse is highly prevalent and that reuse is more extensive when the length threshold for identifying a theme is lower. Structural domains, the best characterized form of reuse in proteins, are just one of many complex and intertwined evolutionary traces. Others include long themes shared among a few proteins, which encompass and overlap with shorter themes that recur in numerous proteins. The observed complexity is consistent with evolution by duplication and divergence, and some of the themes might include descendants of ancestral segments. The observed recursive footprints, where the same amino acid can simultaneously participate in several intertwined themes, could be a useful concept for protein design. Data are available at http://trachel-srv.cs.haifa.ac.il/rachel/ppi/themes/.

Indexed as

Evolution, MolecularAmino Acid SequenceComputational BiologyDatabases, ProteinModels, GeneticProtein ConformationProteinsProteinsancestral segmentsprotein evolutionary patternsprotein function annotationprotein space

Identifiers

PMID29078314
PMCPMC5676897

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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.