Carbocation charge as an interpretable descriptor for the catalytic activity of hydrolytic nanozymes.

Bibliographic Details
Title: Carbocation charge as an interpretable descriptor for the catalytic activity of hydrolytic nanozymes.
Authors: Chen, Zhen1 (AUTHOR), Zhang, Ziqi1 (AUTHOR), Yu, Yixin1 (AUTHOR), Guo, Yu1 (AUTHOR), Liu, Jing1 (AUTHOR) liuj955@qust.edu.cn, Zhu, Zhiling1,2 (AUTHOR) zlzhu@qust.edu.cn
Source: Journal of Colloid & Interface Science. Apr2025:Part 2, Vol. 683, p858-868. 11p.
Subject Terms: *HYDROPHOBIC surfaces, *LEWIS acidity, *AMINO acid residues, *CATALYTIC activity, *MOLECULAR dynamics
Abstract: [Display omitted] • A reactivity descriptor for catalyzing hydrolysis by materials is proposed. • The hydrolytic mechanism catalyzed by materials is investigated. • The reason for the selective catalysis of hydrolytic reactions by materials is elucidated. • The critical impact of d-band centers and surface Lewis acidity of materials on hydrolytic activity is revealed. A universal theory for predicting the catalytic activity of hydrolytic nanozymes has yet to be developed. Herein, by investigating the polarization and hydrolysis mechanisms of nanomaterials towards amide bonds, carbocation charge was identified as a key electronic descriptor for predicting catalytic activity in amide hydrolysis. Through machine learning correlation analysis and the Sure Independence Screening and Sparsifying Operator (SISSO) algorithm, this descriptor was interpreted to associate with the d-band center and Lewis acidity on the nanomaterial surface. On this basis, copper nanoparticles (Cu NPs) were discovered to exhibit significant hydrolytic activity. Further, peptidomic analysis and molecular dynamics simulations showed that Cu NPs demonstrated substrate selectivity. In the presence of water molecules, hydrophobic amino acid residues were driven towards the nanomaterial surface by hydrophobic groups of proteins, leading to the preferential hydrolysis of peptide bonds linked to these residues. This study provided a theoretic framework for predicting highly efficient hydrolytic nanozymes with broad potential applications. [ABSTRACT FROM AUTHOR]
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Database: Academic Search Complete
More Details
ISSN:00219797
DOI:10.1016/j.jcis.2024.12.191
Published in:Journal of Colloid & Interface Science
Language:English