Rational design of deep eutectic solvents for the stabilization of dehydrogenases: an artificial neural network prediction approach.

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

SUBMITTER: Radovic M 

PROVIDER: S-EPMC11325221 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature