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Biochemical reactions

Interpretable model of CRISPR–Cas9 enzymatic reactions

Nature Computational Science volume 3, pages 1011–1012 (2023)Cite this article

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Enzymatic pathways control a host of cellular processes, but the complexity of such pathways has made them difficult to predict. Elektrum combines neural architecture search, kinetic models and transfer learning to effectively discover CRISPR–Cas9 cleavage kinetics.

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Fig. 1: A schematic of Elektrum’s structure.

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Authors and Affiliations

  1. Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA

    David J. Wen & Christina V. Theodoris

  2. Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA

    David J. Wen & Christina V. Theodoris

  3. Program in Developmental and Stem Cell Biology (DSCB), University of California, San Francisco (UCSF), San Francisco, CA, USA

    David J. Wen

  4. Department of Pediatrics, UCSF, San Francisco, CA, USA

    Christina V. Theodoris

Authors
  1. David J. Wen
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  2. Christina V. Theodoris
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Correspondence to Christina V. Theodoris.

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The authors declare no competing interests.

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Wen, D.J., Theodoris, C.V. Interpretable model of CRISPR–Cas9 enzymatic reactions. Nat Comput Sci 3, 1011–1012 (2023). https://doi.org/10.1038/s43588-023-00570-8

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