效应器
定制
计算生物学
工作流程
基因组编辑
清脆的
计算机科学
生物
核酸酶
基因
合成生物学
细胞生物学
系统生物学
灵活性(工程)
化学
Cas9
细菌蛋白
转化式学习
基因组工程
作者
Cyntia Taveneau,Her Xiang Chai,Jovita D’Silva,Rebecca S. Bamert,Honglin Chen,Brooke K. Hayes,Roland W. Calvert,J.W. Purcell,Daniel J. Curwen,Fabian Munder,Lisandra L. Martin,Jeremy J. Barr,Joseph Rosenbluh,Mohamed Fareh,Rhys Grinter,Gavin J. Knott
标识
DOI:10.1038/s41589-025-02136-3
摘要
CRISPR-Cas systems are transformative tools for gene editing that can be tuned or controlled by anti-CRISPRs (Acrs)-phage-derived inhibitors that regulate CRISPR-Cas activity. However, Acrs that can inhibit biotechnologically relevant CRISPR systems are relatively rare and challenging to discover. To overcome this limitation, we describe a highly successful and rapid approach that leverages de novo protein design to develop new-to-nature proteins for controlling CRISPR-Cas activity. Here, using Leptotrichia buccalis CRISPR-Cas13a as a representative example, we demonstrate that Acrs designed using artificial intelligence (AIcrs) are capable of highly potent and specific inhibition of CRISPR-Cas13a nuclease activity. We present a comprehensive workflow for design validation and demonstrate AIcr functionality in controlling CRISPR-Cas13 activity in bacterial and human cells. The ability to design bespoke inhibitors of Cas effectors will contribute to the ongoing development of CRISPR-Cas tools in diverse applications across research, medicine, agriculture and microbiology.
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