Evidence map›Paper›PMID 17439967›Full record

ArticleNucleic acids research2007

OPTIMIZER: a web server for optimizing the codon usage of DNA sequences.

Pere Puigbò, Eduard Guzmán, Antoni Romeu, Santiago Garcia-Vallvé

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 275 papers.

0numbers the graph read from it
0cells of the map it votes in
275citing 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

275 citing papers in PubMed.

  1. Review
  2. Article
  3. EngineeringMetabolic engineering communications · 2026
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  8. Pichia-CLM: A language model-based codon optimization pipeline forProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Expression of Recombinant Phytoplasma Proteins in E. coli.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Overcoming the Challenges of Producing Plant Phytochromes in Escherichia coli.Methods in molecular biology (Clifton, N.J.) · 2026
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215 more citing papers are in PubMed but not listed here.

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.

Pere PuigbòEvolutionary Genomics Group, Biochemistry and Biotechnology Department, Faculty of Chemistry, Rovira i Virgili University (URV), Tarragona, Spain.
Eduard Guzmán
Antoni Romeu
Santiago Garcia-Vallvé

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OPTIMIZER is an on-line application that optimizes the codon usage of a gene to increase its expression level. Three methods of optimization are available: the 'one amino acid-one codon' method, a guided random method based on a Monte Carlo algorithm, and a new method designed to maximize the optimization with the fewest changes in the query sequence. One of the main features of OPTIMIZER is that it makes it possible to optimize a DNA sequence using pre-computed codon usage tables from a predicted group of highly expressed genes from more than 150 prokaryotic species under strong translational selection. These groups of highly expressed genes have been predicted using a new iterative algorithm. In addition, users can use, as a reference set, a pre-computed table containing the mean codon usage of ribosomal protein genes and, as a novelty, the tRNA gene-copy numbers. OPTIMIZER is accessible free of charge at http://genomes.urv.es/OPTIMIZER.

Indexed as

DNASoftwareAlgorithmsAnimalsBase SequenceCodonComputational BiologyGene ExpressionGene Expression RegulationInternetMolecular Sequence DataProtein BiosynthesisRibosomesSequence Analysis, DNACodonDNA

Identifiers

PMID17439967
PMCPMC1933141

What OpenQuestion holds

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LicenceCC BY-NC
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.