De Novo Design and Structural Optimization of Mn(salen)‐Based Artificial Metalloenzymes for Asymmetric Sulfoxidation

Artificial metalloenzymes (ArMs) exhibit exceptional selectivity, yet extending their reactivity beyond native cofactors remains a major challenge. While previous designs using native protein scaffolds to incorporate nonnative cofactors have been reported, de novo protein design enables tailored scaffolds that incorporate nonnative cofactors, unlocking transformations inaccessible to natural enzymes. Here, we report the computational design of de novo proteins that bind Mn(salen)-based complexes for asymmetric sulfoxidation. The resulting ArMs outperform the free cofactor, achieving up to 45% yield and an enantiomeric ratio (e.r.) of 26:74 under optimized conditions. A 1.5 Å resolution crystal structure confirms the designed architecture and reveals key secondary-sphere interactions that govern reactivity. Guided by these insights, rational mutagenesis enhanced performance up to 79% yield and an e.r. up to 16:84. This work establishes a general strategy for integrating complex nonnative cofactors into de novo scaffolds, enabling selective catalysts for reactions beyond the reach of natural enzymes.

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Journal
Angewandte Chemie International Edition
Published
2026-09-18
DOI
https://doi.org/10.1002/anie.5852828
Primary Topic
Cyclopropane Reaction Mechanisms
Type
article
Field-Weighted Citation Impact
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article

De Novo Design and Structural Optimization of Mn(salen)‐Based Artificial Metalloenzymes for Asymmetric Sulfoxidation

Indrek Kalvet, Yunling Deng, Jingxiang Wang, David Baker et al.
Angewandte Chemie International Edition
Cyclopropane Reaction Mechanisms
article

De Novo Design and Structural Optimization of Mn(salen)‐Based Artificial Metalloenzymes for Asymmetric Sulfoxidation

Indrek Kalvet, Yunling Deng, Jingxiang Wang, David Baker, Huiguang Dai, Yi Lu, Amira Haque
article en

Abstract

Artificial metalloenzymes (ArMs) exhibit exceptional selectivity, yet extending their reactivity beyond native cofactors remains a major challenge. While previous designs using native protein scaffolds to incorporate nonnative cofactors have been reported, de novo protein design enables tailored scaffolds that incorporate nonnative cofactors, unlocking transformations inaccessible to natural enzymes. Here, we report the computational design of de novo proteins that bind Mn(salen)-based complexes for asymmetric sulfoxidation. The resulting ArMs outperform the free cofactor, achieving up to 45% yield and an enantiomeric ratio (e.r.) of 26:74 under optimized conditions. A 1.5 Å resolution crystal structure confirms the designed architecture and reveals key secondary-sphere interactions that govern reactivity. Guided by these insights, rational mutagenesis enhanced performance up to 79% yield and an e.r. up to 16:84. This work establishes a general strategy for integrating complex nonnative cofactors into de novo scaffolds, enabling selective catalysts for reactions beyond the reach of natural enzymes.

Angewandte Chemie International Edition
Howard Hughes Medical Institute (US), University of Washington (US), PDL BioPharma (United States) (US), St. Mary's College of Maryland (US), The University of Texas at Austin (US)
Argonne National Laboratory, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 21%
Cyclopropane Reaction Mechanisms
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