Evidence map›Paper›PMID 33691590›Full record

ArticleRNA biology2021

Identification of conserved slow codons that are important for protein expression and function.

Michal Perach, Zohar Zafrir, Tamir Tuller, Oded Lewinson

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Pichia-CLM: A language model-based codon optimization pipeline forProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. A statistical-physics approach for codon usage optimisation.Computational and structural biotechnology journal · 2024
    Article
  3. Article
  4. Translation Rates and Protein Folding.Journal of molecular biology · 2024
    Review
  5. Review
  6. Article
  7. Modifications of the 5' region of the CASPONMicrobial cell factories · 2024
    Article
  8. 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

4 authors at 2 institutions in 1 country.

Michal PerachDepartment of Molecular Microbiology, the Bruce and Ruth Rappaport Faculty of Medicine, The Technion-Israel Institute of Technology, Haifa, Israel.
Zohar ZafrirDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-1358-7202
Tamir TullerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Oded LewinsonDepartment of Molecular Microbiology, the Bruce and Ruth Rappaport Faculty of Medicine, The Technion-Israel Institute of Technology, Haifa, Israel.ORCID 0000-0003-4650-0441
Technion – Israel Institute of Technology · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ABSTRASTDue to the redundancy of the genetic code most amino acids are encoded by several 'synonymous' codons. These codons are used unevenly, and each organism demonstrates its own unique codon usage bias, where the 'preferred' codons are associated with tRNAs that are found in high concentrations. Therefore, for decades, the prevailing view had been that preferred and non-preferred codons are linked to high or slow translation rates, respectively.However, this simplified view is contrasted by the frequent failures of codon-optimization efforts and by evidence of non-preferred (

Indexed as

Amino Acid SequenceBacillus subtilisBacterial ProteinsCodon UsageConserved SequenceEscherichia coliEvolution, MolecularGenetic CodeProtein BiosynthesisProtein FoldingRNA, TransferSilent MutationBacterial ProteinsRNA, Transfercodon-usage biascomputational modelco-translational foldingevolutionary conservationexperimental validationProtein translation

Identifiers

PMID33691590
PMCPMC8632084
OpenAlexW3134359595

What OpenQuestion holds

Textmetadata
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.