Literature DB >> 28617100

Discovery of potent and selective acetylcholinesterase (AChE) inhibitors: acacetin 7-O-methyl ether Mannich base derivatives synthesised from easy access natural product naringin.

Hao-Ran Liu1, Xue Men1, Xiao-Hui Gao2, Lin-Bo Liu1, Hao-Qun Fan1, Xin-Hua Xia2, Qiu-An Wang1.   

Abstract

Naringin, as a component universal existing in the peel of some fruits or medicinal plants, was usually selected as the material to synthesise bioactive derivates since it was easy to gain with low cost. In present investigation, eight new acacetin-7-O-methyl ether Mannich base derivatives (1-8) were synthesised from naringin. The bioactivity evaluation revealed that most of them exhibited moderate or potent acetylcholinesterase (AChE) inhibitory activity. Among them, compound 7 (IC50 for AChE = 0.82 ± 0.08 μmol•L-1, IC50 for BuChE = 46.30 ± 3.26 μmol•L-1) showed a potent activity and high selectivity compared with the positive control Rivastigmine (IC50 for AChE = 10.54 ± 0.86 μmol•L-1, IC50 for BuChE = 0.26 ± 0.08 μmol•L-1). The kinetic study suggested that compound 7 bind to AChE with mix-type inhibitory profile. Molecular docking study revealed that compound 7 could combine both catalytic active site (CAS) and peripheral active site (PAS) of AChE with four points (Trp84, Trp279, Tyr70 and Phe330), while it could bind with BuChE via only His 20.

Entities:  

Keywords:  Alzheimer’s diseases; Mannich base; Naringin; acetylcholinesterase inhibitors; molecular docking

Mesh:

Substances:

Year:  2017        PMID: 28617100     DOI: 10.1080/14786419.2017.1340280

Source DB:  PubMed          Journal:  Nat Prod Res        ISSN: 1478-6419            Impact factor:   2.861


  2 in total

1.  Synthesis, and molecular modeling of bis(3-(piperazine-1-yl)propyl)tungstate (BPPT) nanoparticles, and its first catalytic application for one-pot synthesis of 4H-chromene derivatives.

Authors:  Khalil Eskandari; Yaghoub Pourshojaei; Fatemeh Haghani; Mahnaz Shabani; Ali Asadipour
Journal:  Heliyon       Date:  2019-09-13

2.  PyPLIF HIPPOS and Receptor Ensemble Docking Increase the Prediction Accuracy of the Structure-Based Virtual Screening Protocol Targeting Acetylcholinesterase.

Authors:  Enade P Istyastono; Florentinus Dika Octa Riswanto; Nunung Yuniarti; Vivitri D Prasasty; Sudi Mungkasi
Journal:  Molecules       Date:  2022-09-02       Impact factor: 4.927

  2 in total

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