AlphaFold3-guided optimization of a photoactivatable endonuclease for top-down genome engineering

Recent advances in protein structure prediction by artificial intelligence have enabled the rational design of engineered enzymes with enhanced activity and precise regulatory features. Here, we report the AlphaFold3-guided enhancement of MagMboI, a photoactivatable restriction enzyme designed for light-controlled top-down genome engineering. MagMboI is derived from the type II restriction enzyme MboI and functions through a split-protein strategy in which its N- and C-terminal fragments are fused to light-inducible dimerization modules. Upon exposure to blue light, these domains heterodimerize, restoring nuclease activity in a controlled manner. Using AlphaFold3, we modeled the structure of the MagMboI-DNA complex and gained structural insights into the interaction between MagMboI and its target DNA recognition sequence (5'-GATC-3') required for Mg<sup>2+</sup>-dependent DNA cleavage. Comparing neighboring split-site variants, we identified an alternative split that increases the MagMboI-DNA interface area and enhances complex stability relative to the original construct. This redesigned variant (designated MagMboI-plus) preserves α-helical integrity while strengthening protein-DNA contacts. Although MagMboI-plus, when introduced in Saccharomyces cerevisiae cells, exhibited slightly increased DNA-cleavage activity in vivo upon blue light activation, it was found to induce more pronounced genomic rearrangements compared to the original MagMboI construct. These findings demonstrate that AlphaFold3-based prediction can accelerate functional improvements in engineered enzymes, providing a strategy for developing light-controlled genome engineering tools.

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Publication Details

Journal
Journal of Biological Chemistry
Published
2025-09-24
DOI
https://doi.org/10.1016/j.jbc.2025.110762
Primary Topic
CRISPR and Genetic Engineering
Type
article
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article

AlphaFold3-guided optimization of a photoactivatable endonuclease for top-down genome engineering

Moritoshi Sato, Hiromitsu Kono, Hideyuki Yone, Kunihiro Ohta
Journal of Biological Chemistry
CRISPR and Genetic Engineering
article

AlphaFold3-guided optimization of a photoactivatable endonuclease for top-down genome engineering

Moritoshi Sato, Hiromitsu Kono, Hideyuki Yone, Kunihiro Ohta
article en

Abstract

Recent advances in protein structure prediction by artificial intelligence have enabled the rational design of engineered enzymes with enhanced activity and precise regulatory features. Here, we report the AlphaFold3-guided enhancement of MagMboI, a photoactivatable restriction enzyme designed for light-controlled top-down genome engineering. MagMboI is derived from the type II restriction enzyme MboI and functions through a split-protein strategy in which its N- and C-terminal fragments are fused to light-inducible dimerization modules. Upon exposure to blue light, these domains heterodimerize, restoring nuclease activity in a controlled manner. Using AlphaFold3, we modeled the structure of the MagMboI-DNA complex and gained structural insights into the interaction between MagMboI and its target DNA recognition sequence (5'-GATC-3') required for Mg<sup>2+</sup>-dependent DNA cleavage. Comparing neighboring split-site variants, we identified an alternative split that increases the MagMboI-DNA interface area and enhances complex stability relative to the original construct. This redesigned variant (designated MagMboI-plus) preserves α-helical integrity while strengthening protein-DNA contacts. Although MagMboI-plus, when introduced in Saccharomyces cerevisiae cells, exhibited slightly increased DNA-cleavage activity in vivo upon blue light activation, it was found to induce more pronounced genomic rearrangements compared to the original MagMboI construct. These findings demonstrate that AlphaFold3-based prediction can accelerate functional improvements in engineered enzymes, providing a strategy for developing light-controlled genome engineering tools.

Journal of Biological ChemistryVol. 301(11)
Tokyo Institute of Technology (JP), Tokyo University of the Arts (JP), Kanagawa Academy of Science and Technology (JP), The University of Tokyo (JP)
Openalex Percentile: Top 77%
CRISPR and Genetic Engineering
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