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Mismatch Repair

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...

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Related Experiment Video

Updated: Sep 12, 2025

Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e

Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e

Published on: February 17, 2023

AI-generated MLH1 small binder improves prime editing efficiency.

Ju-Chan Park¹, Heesoo Uhm¹, Yong-Woo Kim²

¹Genomic Medicine Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

|August 6, 2025

Summary

This summary is machine-generated.

Researchers developed a novel small binder (MLH1-SB) to enhance prime editing (PE) efficiency by inhibiting mismatch repair. This AI-designed tool significantly boosts gene editing precision and outcomes in cellular and animal models.

Keywords:

AI-generated de novo protein AlphaFold 3 RFdiffusion artificial intelligence genome editing mismatch repair prime editing

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Last Updated: Sep 12, 2025

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Published on: December 11, 2020

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources

Published on: September 3, 2009

Area of Science:

Molecular Biology
Genetics
Biotechnology

Background:

Prime editing (PE) enables precise DNA modifications but is often limited by cellular mismatch repair pathways.
Previous strategies to inhibit mismatch repair, like dominant-negative MLH1 (MLH1dn), have limitations.
Developing novel inhibitors is crucial for improving PE system efficacy.

Purpose of the Study:

To design a novel, compact inhibitor of MLH1 and PMS2 for enhanced prime editing.
To integrate this inhibitor into a prime editing platform (PE-SB) for improved efficiency.
To evaluate the performance of the new PE-SB system in cellular and in vivo models.

Main Methods:

Utilized RFdiffusion and AlphaFold 3 for de novo design of an MLH1 small binder (MLH1-SB).
Engineered a PE-SB platform by integrating MLH1-SB into existing PE architectures using 2A systems.
Assessed prime editing efficiency of the PE7-SB2 system in HeLa cells and in mice.

Main Results:

The MLH1-SB effectively binds to the MLH1 and PMS2 dimeric interface.
The PE7-SB2 system demonstrated a significant increase in prime editing efficiency.
Achieved an 18.8-fold increase over PEmax and a 2.5-fold increase over PE7 in HeLa cells.
Showcased a 3.4-fold increase in prime editing efficiency over PE7 in mouse models.

Conclusions:

The AI-designed MLH1-SB is a potent inhibitor of mismatch repair, enhancing prime editing.
The PE-SB platform represents a significant advancement in genome editing technology.
Generative AI holds substantial promise for developing next-generation gene editing tools.