ArticleFrontiers in chemistry2024
Rational design of deep eutectic solvents for the stabilization of dehydrogenases: an artificial neural network prediction approach.
Article in Frontiers in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Recent advances in AI-driven deep eutectic solvent design for biocatalysis: Co-design of extremozyme and reaction medium.Biodesign research · 2026Review
- Comparative Roles of Hydrogels, Deep Eutectic Solvents, and Ionic Liquids in Enzyme-Based Biosensors, Bioelectronics and Biomimetics Devices.ACS measurement science au · 2025Review
- Harnessing the potential of deep eutectic solvents in biocatalysis: design strategies using COFrontiers in chemistry · 2024Article
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Authors and funding
6 authors.
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Abstract
Stabilized enzymes are crucial for the industrial application of biocatalysis due to their enhanced operational stability, which leads to prolonged enzyme activity, cost-efficiency and consequently scalability of biocatalytic processes. Over the past decade, numerous studies have demonstrated that deep eutectic solvents (DES) are excellent enzyme stabilizers. However, the search for an optimal DES has primarily relied on trial-and-error methods, lacking systematic exploration of DES structure-activity relationships. Therefore, this study aims to rationally design DES to stabilize various dehydrogenases through extensive experimental screening, followed by the development of a straightforward and reliable mathematical model to predict the efficacy of DES in enzyme stabilization. A total of 28 DES were tested for their ability to stabilize three dehydrogenases at 30°C: (
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