Evidence map›Paper›PMID 29133927›Full record

ArticleScientific reports2017

Random protein sequences can form defined secondary structures and are well-tolerated in vivo.

Vyacheslav Tretyachenko, Jiří Vymětal, Lucie Bednárová, Vladimír Kopecký, Kateřina Hofbauerová, Helena Jindrová, Martin Hubálek, Radko Souček, Jan Konvalinka, Jiří Vondrášek and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
  3. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  4. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. De Novo Genes.Annual review of genetics · 2024
    Review
  7. Peptides En Route from Prebiotic to Biotic Catalysis.Accounts of chemical research · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Toxin rescue by a random sequence.Nature ecology & evolution · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Simple mechanisms for the evolution of protein complexity.Protein science : a publication of the Protein Society · 2022
    Review
  19. Heterologous expression of naturally evolved putative de novo proteins with chaperones.Protein science : a publication of the Protein Society · 2022
    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

11 authors.

Vyacheslav TretyachenkoDepartment of Biochemistry, Faculty of Science, Charles University, Hlavova 2030, 128 00, Prague 2, Czech Republic.
Jiří VymětalDepartment of Biochemistry, Faculty of Science, Charles University, Hlavova 2030, 128 00, Prague 2, Czech Republic.
Lucie BednárováInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo náměstí 2, 166 10, Prague 6, Czech Republic.
Vladimír KopeckýInstitute of Physics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, 121 16, Prague 2, Czech Republic.ORCID 0000-0002-7331-9018
Kateřina HofbauerováInstitute of Physics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, 121 16, Prague 2, Czech Republic.
Helena JindrováDepartment of Biochemistry, Faculty of Science, Charles University, Hlavova 2030, 128 00, Prague 2, Czech Republic.
Martin HubálekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo náměstí 2, 166 10, Prague 6, Czech Republic.
Radko SoučekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo náměstí 2, 166 10, Prague 6, Czech Republic.
Jan KonvalinkaDepartment of Biochemistry, Faculty of Science, Charles University, Hlavova 2030, 128 00, Prague 2, Czech Republic.
Jiří VondrášekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo náměstí 2, 166 10, Prague 6, Czech Republic.
Klára HlouchováDepartment of Biochemistry, Faculty of Science, Charles University, Hlavova 2030, 128 00, Prague 2, Czech Republic. klara.hlouchova@natur.cuni.cz.ORCID 0000-0002-5651-4874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The protein sequences found in nature represent a tiny fraction of the potential sequences that could be constructed from the 20-amino-acid alphabet. To help define the properties that shaped proteins to stand out from the space of possible alternatives, we conducted a systematic computational and experimental exploration of random (unevolved) sequences in comparison with biological proteins. In our study, combinations of secondary structure, disorder, and aggregation predictions are accompanied by experimental characterization of selected proteins. We found that the overall secondary structure and physicochemical properties of random and biological sequences are very similar. Moreover, random sequences can be well-tolerated by living cells. Contrary to early hypotheses about the toxicity of random and disordered proteins, we found that random sequences with high disorder have low aggregation propensity (unlike random sequences with high structural content) and were particularly well-tolerated. This direct structure content/aggregation propensity dependence differentiates random and biological proteins. Our study indicates that while random sequences can be both structured and disordered, the properties of the latter make them better suited as progenitors (in both in vivo and in vitro settings) for further evolution of complex, soluble, three-dimensional scaffolds that can perform specific biochemical tasks.

Indexed as

Models, MolecularPeptide LibraryProtein Structure, SecondaryAmino Acid SequenceCircular DichroismComputational BiologyDatabases, ProteinDatasets as TopicNuclear Magnetic Resonance, BiomolecularProtein AggregatesProtein FoldingRecombinant ProteinsSolubilityPeptide LibraryProtein AggregatesRecombinant Proteins

Identifiers

PMID29133927
PMCPMC5684393

What OpenQuestion holds

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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.