Evidence map›Paper›PMID 40223268›Full record

ArticleJournal of microbiology and biotechnology2025

Comparative Analysis of Codon Optimization Tools: Advancing toward a Multi-Criteria Framework for Synthetic Gene Design.

Eden A Demissie, Seo-Young Park, Je Hun Moon, Dong-Yup Lee

Abstract readComparative Study
In one paragraph

Article in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Transgene sequence codon optimization and composition determines replication competence of self-amplifying RNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Bioinformatics and biology insights · 2026
    Article
  11. Multi-Epitope mRNA Vaccine TargetingBioinformatics and biology insights · 2026
    Article
  12. Article
  13. Codon Usage Bias of the Polyphenol Oxidase Genes inPlants (Basel, Switzerland) · 2025
    Article
  14. 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.

Eden A DemissieSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Seo-Young ParkSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Je Hun MoonSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Dong-Yup LeeSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon optimization is an essential technique in synthetic biology and biopharmaceutical production, enhancing recombinant protein expression by fine-tuning genetic sequences to match the translational machinery and codon usage preferences of specific host organisms. This study presents a comprehensive comparative analysis of widely used codon optimization tools, focusing on their capacity to reflect host-specific codon biases, design principles, and parameters. Industrially relevant target proteins were evaluated in

Indexed as

CodonCodon UsageGenes, SyntheticSynthetic BiologyAnimalsBase CompositionCHO CellsCricetulusEscherichia coliProtein BiosynthesisRecombinant ProteinsRNA, MessengerRNA StabilitySaccharomyces cerevisiaeCodonRecombinant ProteinsRNA, MessengerCodon optimizationhost-specific expressionrecombinant protein productionsynthetic biologytranslational efficiency

Identifiers

PMID40223268
PMCPMC12010093

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.