Evidence map›Paper›PMID 35080492›Full record

ArticleeLife2022

Predicting bacterial promoter function and evolution from random sequences.

Mato Lagator, Srdjan Sarikas, Magdalena Steinrueck, David Toledo-Aparicio, Jonathan P Bollback, Calin C Guet, Gašper Tkačik

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  2. Article
  3. Article
  4. Review
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  6. Article
  7. Article
  8. Article
  9. Weakest link epistasis and the geometry of genetic load.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The Environment-Dependent Regulatory Landscape of thebioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article
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

7 authors.

Mato Lagator *School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-7847-3594
Srdjan Sarikas *Institute of Science and Technology Austria, Klosterneuburg, Austria.
Magdalena SteinrueckInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID 0000-0003-1229-9719
David Toledo-AparicioInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID 0000-0001-8381-7590
Jonathan P BollbackInstitute of Integrative Biology, Functional and Comparative Genomics, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-4624-4612
Calin C Guet *Institute of Science and Technology Austria, Klosterneuburg, Austria.ORCID 0000-0001-6220-2052
Gašper Tkačik *Institute of Science and Technology Austria, Klosterneuburg, Austria.ORCID 0000-0002-6699-1455

Funding

Wellcome TrustWellcome Trust 216779/Z/19/Z
6 · The paper itself

Abstract

Predicting function from sequence is a central problem of biology. Currently, this is possible only locally in a narrow mutational neighborhood around a wildtype sequence rather than globally from any sequence. Using random mutant libraries, we developed a biophysical model that accounts for multiple features of σ

Indexed as

Evolution, MolecularPromoter Regions, GeneticEscherichia coliGene ExpressionGenome, BacterialModels, TheoreticalMutationadaptive evolutioncomputational biologyE. colievolutionary biologygene regulationgenotype-phenotype mappromoterRNA polymerasesystems biology

Identifiers

PMID35080492
PMCPMC8791639

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.