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Comment
. 2025 Feb 18;122(7):e2426326122.
doi: 10.1073/pnas.2426326122. Epub 2025 Feb 10.

Interrogating nucleotide sequences with AI to understand codon usage patterns

Assaf Elazar  1 , Steve Mathew D A  1   2 , M Madan Babu  1
Affiliations
Comment

Interrogating nucleotide sequences with AI to understand codon usage patterns

Assaf Elazar et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

Competing interests statement:The authors declare no competing interest.

Figures

Fig. 1.
Fig. 1.
Evolution-guided learning of codon usage. The mBART model, trained on evolutionarily related sequences, learns to predict codon sequence from an amino acid sequence (Upper). Once trained, the model enables organism-specific codon sequence prediction using two complementary tasks: (i) using the amino acid sequence alone (“masking”; Lower Left) or (ii) guided by the amino acid sequence and an accompanying nucleotide sequence of an ortholog (“mimicking”; Lower Right).
See this image and copyright information in PMC

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