Evidence map›Paper›PMID 41986401›Full record

ArticleNature communications2026

Assembling a single active pocket from enzyme and metal modules for simultaneously catalyzing oxidation-reduction cascades.

Yunkai Fan, Jia Hu, Qilu Wu, Mengyu Zhu, Haozhi Wang, Jun Ge, Xiaoyang Li

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yunkai FanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Jia HuState Key Laboratory of Food Science and Technology, School of Food Science and Technology, Nanchang University, Nanchang, China.
Qilu WuKey Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China.
Mengyu ZhuKey Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China.
Haozhi WangState Key Laboratory of Marine Resource Utilization in South China Sea, School of Materials Science and Engineering, Hainan University, Haikou, China.ORCID http://orcid.org/0000-0002-3543-2319
Jun GeKey Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China. junge@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-5503-8899
Xiaoyang LiCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China. xiaoyangli@buct.edu.cn.ORCID http://orcid.org/0000-0002-4762-7105

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22168024National Natural Science Foundation of China (National Science Foundation of China) 22308143National Natural Science Foundation of China (National Science Foundation of China) 22425803Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z240030
6 · The paper itself

Abstract

Chemoenzymatic cascades, which combine the merits of enzymatic catalysis and chemical catalysis, have blossomed into a powerful technology for new-to-nature reactions. The diffusion resistance of reaction intermediates is a major rate-limiting factor in cascade reactions, which can be reduced by integrating metal catalytic modules and enzymes in a single catalyst due to the proximity effect. Here we assemble enzymatic and dual metal-single-atom photocatalytic modules in a single active pocket for "one binding two reactions" catalysis, which can eliminate the diffusion resistance of reaction intermediates. The enzyme-metal hybrid active pocket exhibits excellent activity in simultaneously catalyzing transfer hydrogenation and oxidation reactions under visible light. The diffusion and rebinding of intermediates between the multiple catalytic modules are eliminated in the artificial active pocket, achieving efficient oxidation-reduction cascades for the directed detoxification of low-concentration mycotoxins, which is not reachable through engineered enzymes or photocatalysts alone. This work proposes an innovative type of cascade process and establishes a powerful tool for editing enzyme active pockets with metal catalytic modules.

Indexed as

EnzymesMetalsBiocatalysisCatalysisCatalytic DomainHydrogenationLightMycotoxinsOxidation-ReductionEnzymesMetalsMycotoxins

Identifiers

PMID41986401
PMCPMC13261074

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.