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Feasible Cluster Model Method for Simulating the Redox Potentials of Laccase CueO and Its Variant.
Jiang, Qixuan; Cui, Ziheng; Wei, Ren; Nie, Kaili; Xu, Haijun; Liu, Luo.
Afiliação
  • Jiang Q; Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing, China.
  • Cui Z; Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing, China.
  • Wei R; Junior Research Group Plastic Biodegradation at Institute of Biochemistry, University of Greifswald, Greifswald, Germany.
  • Nie K; Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing, China.
  • Xu H; Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing, China.
  • Liu L; Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing, China.
Front Bioeng Biotechnol ; 10: 957694, 2022.
Article em En | MEDLINE | ID: mdl-35935497
ABSTRACT
Laccases are regarded as versatile green biocatalysts, and recent scientific research has focused on improving their redox potential for broader industrial and environmental applications. The density functional theory (DFT) quantum mechanics approach, sufficiently rigorous and efficient for the calculation of electronic structures, is conducted to better comprehend the connection between the redox potential and the atomic structural feature of laccases. According to the crystal structure of wild type laccase CueO and its variant, a truncated miniature cluster model method was established in this research. On the basic of thermodynamic cycle, the overall Gibbs free energy variations before and after the one-electron reduction were calculated. It turned out that the trends of redox potentials to increase after variant predicted by the theoretical calculations correlated well with those obtained by experiments, thereby validating the feasibility of this cluster model method for simulating the redox potentials of laccases.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article