Paper · 42587136

Mechanistic machine learning for prediction of prime editing outcomes.

Hsu A and 26 others. Nat Biotechnol, 2026. Cited by 1 paper, by iCite.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Mechanistic machine learning for prediction of prime editing outcomes. Papers, record 42587136. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42587136

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: Mechanistic machine learning for prediction of prime editing outcomes.; PubMed
Journal: Nat Biotechnol; PubMed
Year: 2026; PubMed
Publication types: Journal Article; PubMed
PubMed: https://pubmed.ncbi.nlm.nih.gov/42587136/; PubMed
DOI: https://doi.org/10.1038/s41587-026-03261-7; PubMed
The journal: https://conductscience.org/library/journal-index/9604648; PubMed
Citations, by iCite: 1; iCite
Revised in PubMed: 2026-10-09; PubMed

Authors27

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename	ORCID iD
1	Hsu A	Alvin	https://orcid.org/0000-0003-4034-2788
2	Chen PJ	Peter J	https://orcid.org/0000-0002-1094-7180
3	Li AH	Angus H	https://orcid.org/0000-0002-7330-465X
4	Hemez CF	Colin F
5	Gao XD	Xin D	https://orcid.org/0000-0003-2917-2060
6	Terrey M	Markus
7	Nelson C	Charlie	https://orcid.org/0000-0002-2463-2155
8	Selvam V	Vijay
9	Cristian A	Ana
10	McElroy AN	Amber N	https://orcid.org/0000-0002-4169-0015

1 to 10 of 27Source PubMed

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Topics0

NLM's MeSH indexing of the paper, its major topics first.

None in this release.

Grants9

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by	Source
RM1 HG009490	NHGRI NIH HHS	United States	RM1HG009490	PubMed	NIH RePORTER
R35GM118062	U.S. Department of Health & Human Services \| NIH \| National Institute of General Medical Sciences (NIGMS)		R35GM118062	PubMed	NIH RePORTER
R35 GM118062	NIGMS NIH HHS	United States	R35GM118062	PubMed	NIH RePORTER
Liu investigatorship	Howard Hughes Medical Institute (HHMI)			PubMed	PubMed
R01EB022376	U.S. Department of Health & Human Services \| NIH \| National Institute of Biomedical Imaging and Bioengineering (NIBIB)		R01EB022376	PubMed	NIH RePORTER
U01 AI142756	NIAID NIH HHS	United States	U01AI142756	PubMed	NIH RePORTER
R01 EB022376	NIBIB NIH HHS	United States	R01EB022376	PubMed	NIH RePORTER
U01AI142756	U.S. Department of Health & Human Services \| NIH \| National Institute of Allergy and Infectious Diseases (NIAID)		U01AI142756	PubMed	NIH RePORTER
RM1HG009490	U.S. Department of Health & Human Services \| NIH \| National Human Genome Research Institute (NHGRI)		RM1HG009490	PubMed	NIH RePORTER

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections1

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

Kind	PMID	Title	In Papers
Update of	41,757,025	Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes.	https://conductscience.org/library/papers/41757025

Source PubMed

References86

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	33,722,289	Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression.	Genome Biol	2021	https://conductscience.org/library/papers/33722289	PubMed
2	29,258,297	Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents.	Nature	2018	https://conductscience.org/library/papers/29258297	PubMed
3	34,373,320	Evaluating CRISPR-based prime editing for cancer modeling and CFTR repair in organoids.	Life Sci Alliance	2021	https://conductscience.org/library/papers/34373320	PubMed
4	34,589,272	Modeling a cataract disorder in mice with prime editing.	Mol Ther Nucleic Acids	2021	https://conductscience.org/library/papers/34589272	PubMed
5	32,351,707	Efficient generation of mouse models with the prime editing system.	Cell Discov	2020	https://conductscience.org/library/papers/32351707	PubMed
6	34,012,082	In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates.	Nature	2021	https://conductscience.org/library/papers/34012082	PubMed
7	34,082,781	Targeted mutagenesis in mouse cells and embryos using an enhanced prime editor.	Genome Biol	2021	https://conductscience.org/library/papers/34082781	PubMed
8	34,012,094	In vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels.	Nat Biotechnol	2021	https://conductscience.org/library/papers/34012094	PubMed
9	33,097,693	Prime editing for functional repair in patient-derived disease models.	Nat Commun	2020	https://conductscience.org/library/papers/33097693	PubMed
10	36,740,702	Dual-AAV split prime editor corrects the mutation and phenotype in mice with inherited retinal degeneration.	Signal Transduct Target Ther	2023	https://conductscience.org/library/papers/36740702	PubMed

1 to 10 of 86

See all 86 references

Cited by4

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 1 citation.

PMID	Title	Journal	Year	In Papers	Source
42,891,947	Protocol for eVLP-mediated CRISPR-Cas9 and prime editing in pancreatic cancer cell lines.	STAR Protoc	2026	https://conductscience.org/library/papers/42891947	PubMed
42,779,985	In vivo HSPC gene therapy of hemoglobinopathies without drug selection of corrected cells.	bioRxiv	2026	https://conductscience.org/library/papers/42779985	PubMed
42,662,231	Advances in prime editing: Molecular innovations, Large-fragment engineering, and AI-driven design.	Biodes Res	2026	https://conductscience.org/library/papers/42662231	PubMed
41,923,647	Implications of the FDA's new plausible mechanism framework for the development of a personalized in vivo prime editing platform.	Am J Hum Genet	2026	https://conductscience.org/library/papers/41923647	PubMed

Genes1

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

Gene	NCBI Gene ID	Linked by	In Genes
KIF1A	547	PubTator's text mining	https://conductscience.org/library/genes/547

Source NCBI Gene

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

Sources 11

ChEMBL, through Open TargetsCC BY-SA 3.0
ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

Each source's terms

ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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