Identification of flavonoids from natural products against hyperlipidaemia through computational approaches

Over the centuries, hyperlipidaemia has been recognised as a major risk factor contributing to cardiovascular disease (CVD). Current research increasingly explores natural compounds such as flavonoids for their potential lipid-lowering effects. This study evaluated pharmacological potential of flavonoids to identify strong inhibitors for target receptor, Proprotein Convertase Subtilisin/Kexin Type (PCSK9). A total of 29 compounds, including one FDA-approved drugs were screened for drug-likeness and ADMET properties, followed by molecular docking and Molecular Dynamics (MD) simulations using PCSK9 receptor containing glucose and sodium (PDB ID: 5OCA). This complex was chosen due to their functional relevance to cholesterol metabolism. As a results, 24 compounds satisfied Lipinski’s Rule of Five and exhibited favourable drug-likeness and toxicity profiles. Simvastatin (control) was discovered to bind into the pocket B binding site along with seven flavonoids; Diosmetin, Eupatorin, Isorhamnetin, Myricetin, Petunidin, Sinensetin, and Tilianin. These flavonoids displayed docking energies ranging from −8.0 to −10.2 kcal/mol. Tilianin showed the strongest affinity (−10.2 kcal/mol), while Simvastatin bound with −9.1 kcal/mol. MD simulations confirmed that the PCSK9-ligand complexes remained structurally stable throughout a 100 ns trajectory. MM/PBSA analysis further supported the binding interactions, revealing free energies values ranging from −17 to −30.41 kcal/mol. Among the flavonoids evaluated, Tilianin, Myricetin, and Sinensetin demonstrate the most favourable interaction profiles. These finding suggest that the selected flavonoids have strong potential as promising anti-hyperlipidaemic candidates targeting PCSK9.

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Journal
PLoS ONE
Published
2026-10-09
DOI
https://doi.org/10.1371/journal.pone.0346073
Primary Topic
Computational Drug Discovery Methods
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article
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article

Identification of flavonoids from natural products against hyperlipidaemia through computational approaches

Ernie Zuraida Ali, Nurul Azira Ismail, Nurmala Kamal
PLoS ONE
Computational Drug Discovery Methods
article

Identification of flavonoids from natural products against hyperlipidaemia through computational approaches

Ernie Zuraida Ali, Nurul Azira Ismail, Nurmala Kamal
article en

Abstract

Over the centuries, hyperlipidaemia has been recognised as a major risk factor contributing to cardiovascular disease (CVD). Current research increasingly explores natural compounds such as flavonoids for their potential lipid-lowering effects. This study evaluated pharmacological potential of flavonoids to identify strong inhibitors for target receptor, Proprotein Convertase Subtilisin/Kexin Type (PCSK9). A total of 29 compounds, including one FDA-approved drugs were screened for drug-likeness and ADMET properties, followed by molecular docking and Molecular Dynamics (MD) simulations using PCSK9 receptor containing glucose and sodium (PDB ID: 5OCA). This complex was chosen due to their functional relevance to cholesterol metabolism. As a results, 24 compounds satisfied Lipinski’s Rule of Five and exhibited favourable drug-likeness and toxicity profiles. Simvastatin (control) was discovered to bind into the pocket B binding site along with seven flavonoids; Diosmetin, Eupatorin, Isorhamnetin, Myricetin, Petunidin, Sinensetin, and Tilianin. These flavonoids displayed docking energies ranging from −8.0 to −10.2 kcal/mol. Tilianin showed the strongest affinity (−10.2 kcal/mol), while Simvastatin bound with −9.1 kcal/mol. MD simulations confirmed that the PCSK9-ligand complexes remained structurally stable throughout a 100 ns trajectory. MM/PBSA analysis further supported the binding interactions, revealing free energies values ranging from −17 to −30.41 kcal/mol. Among the flavonoids evaluated, Tilianin, Myricetin, and Sinensetin demonstrate the most favourable interaction profiles. These finding suggest that the selected flavonoids have strong potential as promising anti-hyperlipidaemic candidates targeting PCSK9.

PLoS ONEVol. 21(10)
Management and Science University (MY), National Institutes of Biotechnology Malaysia (MY)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
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Identification of flavonoids from natural products against hyperlipidaemia through computational approaches — Ernie Zuraida Ali, Nurul Azira Ismail, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS