The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
OPTIMIZER: a web server for optimizing the codon usage of DNA sequences
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sharp, P. M., & Li, W.-H. (1987) · Nucleic Acids Research · doi:10.1093/nar/15.3.1281 · Cited by 3,992
Codon bias and heterologous protein expression
Gustafsson, C., Govindarajan, S., & Minshull, J. (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.04.006 · Cited by 1,330
Cited by
Recombinant protein expression in Escherichia coli: advances and challenges
Rosano, G. L., & Ceccarelli, E. A. (2014) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00172 · Cited by 2,556
Advances in mRNA Vaccines for Infectious Diseases
Zhang, C., Maruggi, G., Shan, H., & Li, J. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00594 · Cited by 665
Advances in COVID-19 mRNA vaccine development
Fang, E., Liu, X., Li, M., Zhang, Z., Song, L., Zhu, B., Wu, X., Liu, J., Zhao, D., & Li, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00950-y · Cited by 601
Quantifying cellular capacity identifies gene expression designs with reduced burden
Ceroni, F., Algar, R., Stan, G.-B., & Ellis, T. (2015) · Nature Methods · doi:10.1038/nmeth.3339 · Cited by 484
Factors effecting expression of vaccines in microalgae
Surzycki, R., Greenham, K., Kitayama, K., Dibal, F., Wagner, R., Rochaix, J.-D., Ajam, T., & Surzycki, S. (2009) · Biologicals · doi:10.1016/j.biologicals.2009.02.005 · Cited by 185
Metadata
- Authors
- Puigbo, P., Guzman, E., Romeu, A., & Garcia-Vallve, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-05-08
- Volume
- 35
- Issue
- Web Server
- Pages
- W126-W131
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2006607348
- Cited by
- 603
- References
- 2
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: OPTIMIZER: a web server for optimizing the codon usage of DNA sequences. https://app.cochat.ai/papers/10.1093/nar/gkm219
- The paper
- Puigbo, P., Guzman, E., Romeu, A., & Garcia-Vallve, S. (2007). OPTIMIZER: a web server for optimizing the codon usage of DNA sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/gkm219
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.