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Programmable biology through artificial intelligence: from nucleic acids to proteins to cells

Nature Methods volume 21, pages 1384–1386 (2024)Cite this article

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Artificial intelligence-enabled computational tools not only help us to elucidate biological processes but also facilitate the programming of biology through molecular and cellular engineering.

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Fig. 1: Applications of AI-based methods for programming biology.

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Author notes

  1. These authors contributed equally: Omar O. Abudayyeh, Jonathan S. Gootenberg.

Authors and Affiliations

  1. Harvard Medical School, Harvard University, Boston, MA, USA

    Omar O. Abudayyeh & Jonathan S. Gootenberg

  2. Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, USA

    Omar O. Abudayyeh & Jonathan S. Gootenberg

  3. Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA

    Omar O. Abudayyeh & Jonathan S. Gootenberg

  4. Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA

    Omar O. Abudayyeh & Jonathan S. Gootenberg

Authors
  1. Omar O. Abudayyeh
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  2. Jonathan S. Gootenberg
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Correspondence to Omar O. Abudayyeh or Jonathan S. Gootenberg.

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Competing interests

J.S.G. and O.O.A. are co-founders of Sherlock Biosciences, Tome Biosciences, Doppler Bio and Circle Labs.

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Abudayyeh, O.O., Gootenberg, J.S. Programmable biology through artificial intelligence: from nucleic acids to proteins to cells. Nat Methods 21, 1384–1386 (2024). https://doi.org/10.1038/s41592-024-02338-y

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