Mechanistic machine learning for prediction of prime editing outcomes

Alvin Hsu, Peter J. Chen, Angus H. Li, Colin F. Hemez, Xin D. Gao, Markus Terrey, Charlie Nelson, Vijay Selvam, Ana Cristian, Amber N. McElroy, Benjamin J. Steinbeck, Gandhar K. Mahadeshwar, Smriti Pandey, Zachary Barsdale, Paul Z. Chen, Alexander A. Sousa, Holt A. Sakai, Rachel A. Silverstein, Ilias Morad, Ryan K. Krueger, Max W. Shen, Benjamin P. Kleinstiver, Cathleen M. Lutz, Jakub Tolar, Bruce R. Blazar, Mark J. Osborn, David R. Liu

Open source

DOI: 10.1038/s41587-026-03261-7
Published: 2026-08-12
Container: Nature Biotechnology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41587-026-03261-7,
  title = {Mechanistic machine learning for prediction of prime editing outcomes},
  author = {Alvin Hsu and Peter J. Chen and Angus H. Li and Colin F. Hemez and Xin D. Gao and Markus Terrey and Charlie Nelson and Vijay Selvam and Ana Cristian and Amber N. McElroy and Benjamin J. Steinbeck and Gandhar K. Mahadeshwar and Smriti Pandey and Zachary Barsdale and Paul Z. Chen and Alexander A. Sousa and Holt A. Sakai and Rachel A. Silverstein and Ilias Morad and Ryan K. Krueger and Max W. Shen and Benjamin P. Kleinstiver and Cathleen M. Lutz and Jakub Tolar and Bruce R. Blazar and Mark J. Osborn and David R. Liu},
  year = {2026},
  journal = {Nature Biotechnology},
  doi = {10.1038/s41587-026-03261-7},
  url = {https://doi.org/10.1038/s41587-026-03261-7}
}

RIS

TY  - JOUR
TI  - Mechanistic machine learning for prediction of prime editing outcomes
AU  - Alvin Hsu
AU  - Peter J. Chen
AU  - Angus H. Li
AU  - Colin F. Hemez
AU  - Xin D. Gao
AU  - Markus Terrey
AU  - Charlie Nelson
AU  - Vijay Selvam
AU  - Ana Cristian
AU  - Amber N. McElroy
AU  - Benjamin J. Steinbeck
AU  - Gandhar K. Mahadeshwar
AU  - Smriti Pandey
AU  - Zachary Barsdale
AU  - Paul Z. Chen
AU  - Alexander A. Sousa
AU  - Holt A. Sakai
AU  - Rachel A. Silverstein
AU  - Ilias Morad
AU  - Ryan K. Krueger
AU  - Max W. Shen
AU  - Benjamin P. Kleinstiver
AU  - Cathleen M. Lutz
AU  - Jakub Tolar
AU  - Bruce R. Blazar
AU  - Mark J. Osborn
AU  - David R. Liu
PY  - 2026
JO  - Nature Biotechnology
DO  - 10.1038/s41587-026-03261-7
UR  - https://doi.org/10.1038/s41587-026-03261-7
ER  -

APA

Hsu, A., Chen, P. J., Li, A. H., Hemez, C. F., Gao, X. D., Terrey, M., Nelson, C., Selvam, V., Cristian, A., McElroy, A. N., Steinbeck, B. J., Mahadeshwar, G. K., Pandey, S., Barsdale, Z., Chen, P. Z., Sousa, A. A., Sakai, H. A., Silverstein, R. A., Morad, I., Krueger, R. K., Shen, M. W., Kleinstiver, B. P., Lutz, C. M., Tolar, J., Blazar, B. R., Osborn, M. J., & Liu, D. R. (2026). Mechanistic machine learning for prediction of prime editing outcomes. Nature Biotechnology. https://doi.org/10.1038/s41587-026-03261-7

Source records

crossref · retrieved 2026-09-25T23:51:11.709Z