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Enzyme Mimicking by Metabolite-Metal Nanozymes with Exceptional Operational Stability

Project description

Enzymes for various applications

Enzymes are costly and unstable, prompting the search for effective substitutes. Metabolite-metal co-assemblies that mimic metalloenzymes demonstrate high efficiency and robustness even under extreme conditions. However, exploring the vast chemical space found in natural enzymes is only at its beginning. The ERC-funded Meta2Zyme project will explore a combinatorial matrix of metabolites and metal ions that co-assemble into unique supramolecular catalytic active sites, similar to the organisation in traditional enzymes. Using advanced experimental and computational techniques, including AI-driven predictive modelling, the project will identify, optimise, and test new nanozymes for various applications. By characterising these efficient nanozymes, the project seeks to gain insights into the evolution of natural enzymes and the design of catalytic nanomaterials.

Objective

While enzymes are highly useful in various applications, their limited operational stability and production costs have led to an extensive search for stable catalytic agents that will retain the efficiency, specificity, and environmental-friendliness of natural enzymes. Despite extensive efforts, there is still an unmet need for improved enzyme mimics and novel concepts to discover and optimize such agents. Inspired by the catalytic activity of amyloids and the formation of amyloid-like assemblies by metabolites, our group pioneered the development of metabolite-metal co-assemblies that mimic the catalytic function of common metalloenzymes with remarkably safe and simple building blocks. Intriguingly, the assemblies exhibit high efficiency and exceptional robustness, even under extreme conditions of temperature, pH, and salinity that are impractical for enzymes. Yet, we had only explored a minute fraction of the chemical space as present in natural enzymes. In this project, we propose the first-ever systematic exploration of a vast combinatorial matrix consisting of metabolites and metal ions that co-assemble into unique supramolecular catalytic active sites, analogous to the organization of covalently bound residues and metal ions in conventional enzymes. The proposed work will involve advanced experimental and computational techniques, including artificial intelligence-driven predictive modelling based on functional, structural, and mechanistic data, to identify, optimize, and test the new nanozymes in various relevant application scenarios. Through this comprehensive study, we will not only identify and characterize highly efficient nanozymes, but also gain fundamental insights into the evolution of natural enzymes and design principles of catalytic nanomaterials. This high-risk/high-gain project has the potential to revolutionize the mimicking of enzymatic catalysis and develop robust, highly efficient, cost-effective, and eco-friendly catalytic assemblies.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2024-ADG

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Host institution

TEL AVIV UNIVERSITY
Net EU contribution
€ 2 776 000,00
Total cost
No data

Beneficiaries (1)