Structure and evolution-guided design of minimal RNA-guided nucleases

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome-editing capabilities. However, generating diverse multidomain proteins with robust enzymatic properties remains challenging. Here, we use a protein design strategy that couples a structure-guided inverse-folding model with evolution-informed residue constraints to generate active, divergent variants of TnpB, a minimal CRISPR-Cas12-like nuclease, termed SynTnpBs. High-throughput screening of artificial intelligence-generated variants yielded editors that retained or exceeded wild-type activity in bacterial, plant, and human cells. Cryo-electron microscopy-based structure determination of the most divergent variant revealed stabilizing contacts in the RNA-DNA interfaces across conformations, demonstrating the design potential of this approach. Together, these results establish a strategy for creating non-natural RNA-guided nucleases and conformationally active nucleic acid binders, enlarging the designable protein space.

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Publication Details

Journal
Science
Published
2026-07-16
DOI
https://doi.org/10.1126/science.aed6123
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Structure and evolution-guided design of minimal RNA-guided nucleases

Trevor Weiss, Steven E. Jacobsen, Lin-Xing Chen, J.H.D. Cate et al.
Science
Advanced biosensing and bioanalysis techniques
article

Structure and evolution-guided design of minimal RNA-guided nucleases

Trevor Weiss, Steven E. Jacobsen, Lin-Xing Chen, J.H.D. Cate, Jillian F. Banfield, Conner J. Langeberg, Honglue Shi, Jennifer A. Doudna, Hunter Nisonoff, Petr Skopintsev, Hannah Karp, Isabel Esain-Garcia, Peter H. Yoon, Kenneth J. Loi, Evan C. DeTurk, Ron Boger, Z. S. Zhou, Kamakshi Vohra, Maris Kamalu, Ajit Chamraj
article en

Abstract

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome-editing capabilities. However, generating diverse multidomain proteins with robust enzymatic properties remains challenging. Here, we use a protein design strategy that couples a structure-guided inverse-folding model with evolution-informed residue constraints to generate active, divergent variants of TnpB, a minimal CRISPR-Cas12-like nuclease, termed SynTnpBs. High-throughput screening of artificial intelligence-generated variants yielded editors that retained or exceeded wild-type activity in bacterial, plant, and human cells. Cryo-electron microscopy-based structure determination of the most divergent variant revealed stabilizing contacts in the RNA-DNA interfaces across conformations, demonstrating the design potential of this approach. Together, these results establish a strategy for creating non-natural RNA-guided nucleases and conformationally active nucleic acid binders, enlarging the designable protein space.

ScienceVol. 393(6808)
QB3 (US), Planetary Science Institute (US), Gladstone Institutes (US), Howard Hughes Medical Institute (US), Lawrence Berkeley National Laboratory (US), University of California, Los Angeles (US), Australian Regenerative Medicine Institute (AU), Innovative Genomics Institute (US), Monash University (AU), University of California, Berkeley (US)
National Science Foundation, Howard Hughes Medical Institute, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 99%
Advanced biosensing and bioanalysis techniques
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