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New Insights into the Cooperativity and Dynamics of Dimeric Enzymes.
Chen, Ke-Wei; Sun, Tian-Yu; Wu, Yun-Dong.
Affiliation
  • Chen KW; Lab of Computional Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
  • Sun TY; Shenzhen Bay Laboratory, Shenzhen 518132, China.
  • Wu YD; Lab of Computional Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
Chem Rev ; 123(16): 9940-9981, 2023 08 23.
Article in En | MEDLINE | ID: mdl-37561162
ABSTRACT
A survey of protein databases indicates that the majority of enzymes exist in oligomeric forms, with about half of those found in the UniProt database being homodimeric. Understanding why many enzymes are in their dimeric form is imperative. Recent developments in experimental and computational techniques have allowed for a deeper comprehension of the cooperative interactions between the subunits of dimeric enzymes. This review aims to succinctly summarize these recent advancements by providing an overview of experimental and theoretical methods, as well as an understanding of cooperativity in substrate binding and the molecular mechanisms of cooperative catalysis within homodimeric enzymes. Focus is set upon the beneficial effects of dimerization and cooperative catalysis. These advancements not only provide essential case studies and theoretical support for comprehending dimeric enzyme catalysis but also serve as a foundation for designing highly efficient catalysts, such as dimeric organic catalysts. Moreover, these developments have significant implications for drug design, as exemplified by Paxlovid, which was designed for the homodimeric main protease of SARS-CoV-2.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: En Journal: Chem Rev Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: En Journal: Chem Rev Year: 2023 Document type: Article Affiliation country: China