Affiliation:
1. Department of Chemistry, Rhodes University, Makhanda, South Africa
2. Research Unit in Bioinformatics (RUBi),
Rhodes University, Makhanda, 6140, South Africa
Abstract
Background:
According to the World Health Organisation, cardiovascular complications
have been recognized as the leading course of death between 2000 and 2019.
Cardiovascular complications are caused by excess LDL cholesterol in the body or arteries that can
build up to form a plaque. There are drugs currently in clinical use called statins that target HMGCoA
reductase. However, these drugs result in several side effects. This work investigated using
computational approaches to lower cholesterol by investigating green tea extracts as an inhibitors
for squalene monooxygenase (the second-rate-controlling step in cholesterol synthesis).
Methods:
Pharmacophore modeling was done to identify possible pharmacophoric sites based on
the pIC50 values. The best hypothesis generated by pharmacophore modeling was further validated
by atom-based 3D QSAR, where 70% of the data set was treated as the training set. Prior molecular
docking ADMET studies were done to investigate the physiochemical properties of these
molecules. Glide docking was performed, followed by molecular dynamics to evaluate the protein
conformational changes.
Results:
Pharmacophore results suggest that the best molecules to interact with the biological target
should have at least one hydrogen acceptor (A5), two hydrogen donors (D9 and D10), and two
benzene rings (R14 and R15) for green tea polyphenols and theasinensin A. ADMET result shows
that all molecules in this class have low oral adsorption. Molecular docking results showed that
some green tea polyphenols have good binding affinities, with most of these structures having a
docking score of less than -10 kcal/mol. Molecular dynamics further illustrated that the best-docked
ligands perfectly stay within the active site over a 100 ns simulation.
Conclusion:
The results obtained from this study suggest that green tea polyphenols have the
potential for inhibition of squalene monooxygenase, except for theasinensin A.
Publisher
Bentham Science Publishers Ltd.