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Method Predicts Prime Editing Efficiency in Different Cell Types

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Summary

The USPTO has published a patent application (US20260088126A1) detailing a method and device for predicting prime editing efficiency in various cell types and prime editor types. The application, filed by Yonsei University, focuses on training predictive models for both on-target and off-target prime editing efficiency.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

This document is a published patent application from the USPTO, specifically application US20260088126A1, titled "Method and device for predicting prime editing efficiency of various prime editors in different cell types." The application, filed by UIF (University Industry Foundation) and Yonsei University, describes a method for training predictive models to assess prime editing efficiency and off-target effects across different cell types and prime editor variations. The core innovation appears to be a predictive modeling approach for gene editing technologies.

As this is a patent application, it does not impose direct compliance obligations on regulated entities. However, it signifies potential future developments and intellectual property in the field of biotechnology and gene editing. Companies operating in this space, particularly those involved in drug development or gene therapy, should be aware of such patent filings as they may impact future research, development, and commercialization strategies. No immediate actions or deadlines are associated with this publication.

Archived snapshot

Mar 27, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

METHOD AND DEVICE FOR PREDICTING PRIME EDITING EFFICIENCY OF VARIOUS PRIME EDITORS IN DIFFERENT CELL TYPES

Application US20260088126A1 Kind: A1 Mar 26, 2026

Assignee

UIF (UNIVERSITY INDUSTRY FOUNDATION), YONSEI UNIVERSITY

Inventors

Hyongbum KIM, Goosang YU, Hui Kwon KIM, Jinman PARK

Abstract

Provided are a method for training a predictive model for prime editing efficiency of pegRNA for various cell types and various prime editor types, and a method and apparatus for predicting prime editing efficiency using the prime-editing efficiency predictive model trained by the same method. In addition, a method for training a predictive model for off-target prime editing efficiency, and a method and apparatus for predicting off-target prime editing efficiency using the predictive model for off-target prime editing efficiency trained by the method.

CPC Classifications

G16B 30/00 C12N 9/1276 C12N 9/226 C12N 15/1082 C12N 15/111 C12Q 1/6869 G16B 25/00 G16B 40/20 C07K 2319/80 C12N 2310/20 C12Y 207/07049

Filing Date

2023-08-29

Application No.

19109301

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Last updated

Classification

Agency
USPTO
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260088126A1

Who this affects

Applies to
Drug manufacturers Pharmaceutical companies
Industry sector
3254 Pharmaceutical Manufacturing 3254.1 Biotechnology
Activity scope
Gene Editing
Geographic scope
United States US

Taxonomy

Primary area
Pharmaceuticals
Operational domain
Legal
Topics
Biotechnology Intellectual Property

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