Partitioning of a 2-bit hash function across 66 communicating cells

Padmakumar, Jai P.; Sun, Jessica J.; Cho, William; Zhou, Yangruirui; Krenz, Christopher; Han, Woo Zhong; Densmore, Douglas; Sontag, Eduardo D.; Voigt, Christopher A.

doi:10.1038/s41589-024-01730-1

Nat Chem Biol

2024

DOI: 10.1038/s41589-024-01730-1

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Partitioning of a 2-bit hash function across 66 communicating cells

Jai P. Padmakumar,

Jessica J. Sun,

William Cho

et al.

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2024

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PlasmidGPT: a generative framework for plasmid design and annotation

Shao

2024

Preprint

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We introduce PlasmidGPT, a generative language model pretrained on 153k engineered plasmid sequences from Addgene. PlasmidGPT generates de novo sequences that share similar characteristics with engineered plasmids but show low sequence identity to the training data. We demonstrate its ability to generate plasmids in a controlled manner based on the input sequence or specific design constraint. Moreover, our model learns informative embeddings of both engineered and natural plasmids, allowing for efficient prediction of a wide range of sequence-related attributes.

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PlasmidGPT: a generative framework for plasmid design and annotation

Shao

2024

Preprint

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show abstract

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Partitioning of a 2-bit hash function across 66 communicating cells

Cited by 1 publication

References 114 publications

PlasmidGPT: a generative framework for plasmid design and annotation

PlasmidGPT: a generative framework for plasmid design and annotation

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