ArticleBioinformatics (Oxford, England)2023
Dicodon-based measures for modeling gene expression.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 8 citations in OpenAlex.
- Uncovering position-specific patterns in codon and codon-pair usage in candidate genes associated with blood coagulation diseases.NAR genomics and bioinformatics · 2025Article
- Translation of the downstream ORF from bicistronic mRNAs by human cells: Impact of codon usage and splicing in the upstream ORF.Protein science : a publication of the Protein Society · 2025Article
- Predicting gene sequences with AI to study codon usage patterns.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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Abstract
motivationCodon usage preference patterns have been associated with modulation of translation efficiency, protein folding, and mRNA decay. However, new studies support that codon pair usage has also a remarkable effect at the gene expression level. Here, we expand the concept of CAI to answer if codon pair usage patterns can be understood in terms of codon usage bias, or if they offer new information regarding coding translation efficiency.
resultsThrough the implementation of a weighting strategy to consider the dicodon contributions, we observe that the dicodon-based measure has greater correlations with gene expression level than CAI. Interestingly, we have noted that dicodons associated with a low value of adaptiveness are related to dicodons which mediate strong translational inhibition in yeast. We have also noticed that some codon-pairs have a smaller dicodon contribution than estimated by the product of the respective codon contributions. AVAILABILITY AND IMPLEMENTATION: Scripts, implemented in Python, are freely available for download at https://zenodo.org/record/7738276#.ZBIDBtLMIdU.
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