Hosen_2023_In.Silico.Pharmacol_11_14

Reference

Title : Molecular docking and dynamics simulation approach of Camellia sinensis leaf extract derived compounds as potential cholinesterase inhibitors - Hosen_2023_In.Silico.Pharmacol_11_14
Author(s) : Hosen ME , Rahman MS , Faruqe MO , Khalekuzzaman M , Islam MA , Acharjee UK , Zaman R
Ref : In Silico Pharmacol , 11 :14 , 2023
Abstract :

The tea plant (Camellia sinensis) belongs to the family Theaceae and contains many phytochemicals that are effective against various diseases, including neurodegenerative disorders. In this study, we aimed to characterize the phytochemicals present in the methanolic and n-hexane leaf extracts of C. sinensis using GC-MS, FTIR, and UV-visible analysis. We detected a total of 19 compounds of different chemical classes. We also performed molecular docking studies using the GC-MS detected phytochemicals, targeting acetylcholinesterase (AChE, PBD ID: 4BDT) and butyrylcholinesterase (BChE, PDB ID: 6QAB), which are responsible for the breakdown of the neurotransmitter acetylcholine (ACh). This breakdown leads to dementia and cognitive decline in Alzheimer's patients. The compounds Ergosta-7,22-dien-3-ol, (3.beta.,5.alpha.,22E)- and Benzene, 1,3-bis(1,1-dimethylethyl) showed better binding affinity against AChE, while dl-.alpha.-Tocopherol and Ergosta-7,22-dien-3-ol, (3.beta.,5.alpha.,22E)- showed better binding affinity against BChE. We determined the stability and rigidity of these best docked complexes through molecular dynamics simulation for a period of 100 ns. All complexes showed stability in terms of SASA, Rg, and hydrogen bonds, but some variations were found in the RMSD values. Our ADMET analysis revealed that all lead compounds are non-toxic. Therefore, these compounds could be potential inhibitors of AChE and BChE.

PubMedSearch : Hosen_2023_In.Silico.Pharmacol_11_14
PubMedID: 37255739

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Citations formats

Hosen ME, Rahman MS, Faruqe MO, Khalekuzzaman M, Islam MA, Acharjee UK, Zaman R (2023)
Molecular docking and dynamics simulation approach of Camellia sinensis leaf extract derived compounds as potential cholinesterase inhibitors
In Silico Pharmacol 11 :14

Hosen ME, Rahman MS, Faruqe MO, Khalekuzzaman M, Islam MA, Acharjee UK, Zaman R (2023)
In Silico Pharmacol 11 :14