Author

Alexander D. Duggan

University of Toronto

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Synthetic Biology· 1

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Assay:DNA methylation· 1 Organism:E. coli· 1 Organism:non-human primate· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

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David R. McMilleniD· 1 shared Matthew P. Newman· 1 shared

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2026-2026 · peak 1/yr

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Recent·Most cited

A trainable language model for modulating translation rates in non-model organisms by generating upstream untranslated region sequence libraries

Alexander D. Duggan, Matthew P. Newman, David R. McMillen

The paper generates synthetic 5'-UTR sequence libraries for non-model organisms using a language model trained on genomic statistics, showing effective translation modulation without prior knowledge.

bioRxiv · Apr 20, 2026 · PreprintSynthetic Biology