ReviewMolekuliarnaia biologiia
[Synonymous Codon Usage-a Guide for Co-Translational Protein Folding in the Cell].
Review in Molekuliarnaia biologiia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Hierarchical evolution of the proteobacterial essential chaperone SecB reveals non-neutral synonymous evolution under extreme purifying selection.Molecular genetics and genomics : MGG · 2026Article
- Genome-wide association mapping and haplotype analysis reveal genetic architecture of seed fatty acid compositions in 1,550 diverse soybean accessions.BMC plant biology · 2025Article
- A Suite of Foundation Models Captures the Contextual Interplay Between Codons.bioRxiv : the preprint server for biology · 2024Article
- Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis.NPJ biofilms and microbiomes · 2023Article
- An Analysis of Algebraic Codes over Lattice Valued Intuitionistic Fuzzy Type-3Computational intelligence and neuroscience · 2022Article
- Strategies and Patterns of Codon Bias in Molluscum Contagiosum Virus.Pathogens (Basel, Switzerland) · 2021Article
- A Code Within a Code: How Codons Fine-Tune Protein Folding in the Cell.Biochemistry. Biokhimiia · 2021Review
- Tailored biosynthesis of gibberellin plant hormones in yeast.Metabolic engineering · 2021Article
- A code within the genetic code: codon usage regulates co-translational protein folding.Cell communication and signaling : CCS · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
In the cell, protein folding begins during protein synthesis/translation and thus is a co-translational process. Co-translational protein folding is tightly linked to translation elongation, which is not a uniform process. While there are many reasons for translation non-uniformity, it is generally believed that non-uniform synonymous codon usage is one of the key factors modulating translation elongation rates. Frequent/optimal codons as a rule are translated more rapidly than infrequently used ones and vice versa. Over 30 years ago, it was hypothesized that changes in synonymous codon usage affecting translation elongation rates could impinge on co-translation protein folding and that many synonymous codons are strategically placed within mRNA to ensure a particular translation kinetics facilitating productive step-by-step co-translational folding of proteins. It was suggested that this particular translation kinetics (and, specifically, translation pause sites) may define the window of opportunity for the protein parts to fold locally, particularly at the critical points where folding is far from equilibrium. It was thus hypothesized that synonymous codons may provide a secondary code for protein folding in the cell. Although, mostly accepted now, this hypothesis appeared to be difficult to prove and many convincing results were obtained only relatively recently. Here, I review the progress in the field and explain, why this simple idea appeared to be so challenging to prove.
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What OpenQuestion holds
Registered trials
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.