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A DFT study of the endo-selectivity mechanism of the Diels-Alder reaction in lindenane dimeric sesquiterpene synthesis promoted by pyridines.
Li, Yuxin; Zhang, Rong; Song, Yuling; Xie, Hujun; Wu, Ruibo.
Afiliação
  • Li Y; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, People's Republic of China. wurb3@mail.sysu.edu.cn.
  • Zhang R; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, People's Republic of China. wurb3@mail.sysu.edu.cn.
  • Song Y; School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China. hujunxie@gmail.com.
  • Xie H; School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China. hujunxie@gmail.com.
  • Wu R; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, People's Republic of China. wurb3@mail.sysu.edu.cn.
Phys Chem Chem Phys ; 25(5): 3772-3779, 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36644930
ABSTRACT
The lindenane dimeric sesquiterpenoids with versatile biological activities are accessible via biometric synthesis, in which the endo-selective Diels-Alder reaction plays an important role. To explore the endo-selectivity of the Diels-Alder reaction between lindenane sesquiterpenes promoted by pyridines, density functional theory (DFT) calculations were performed to explore the reaction mechanism between pyridines and D-A monomers. The calculations performed on the reaction pathways explain why pyridines can promote endo-selectivity via hydrogen bonding, and the hydrogen bond strength is a key factor driving the Diels-Alder reaction in major biochemical systems. These DFT-level insights will pave the way for designing better promoters for Diels-Alder reactions in biometric synthesis applications.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Ano de publicação: 2023 Tipo de documento: Article