Evidence map›Paper›PMID 42853886›Full record

ArticlePloS one2026

Identification of flavonoids from natural products against hyperlipidaemia through computational approaches.

Nurnazira Hanis Mustaffar Kamal, Nurul Azira Ismail, Ernie Zuraida Ali

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nurnazira Hanis Mustaffar KamalSchool of Graduate Studies, Postgraduate Centre Management and Science University, University Drive, Shah Alam, Selangor, Malaysia.
Nurul Azira IsmailSchool of Graduate Studies, Postgraduate Centre Management and Science University, University Drive, Shah Alam, Selangor, Malaysia.ORCID https://orcid.org/0000-0001-5368-0810
Ernie Zuraida AliInstitute for Medical Research, National Institutes of Health Malaysia, Shah Alam, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological ProductsFlavonoidsHyperlipidemiasBinding SitesHumansMolecular Docking SimulationMolecular Dynamics SimulationPCSK9 InhibitorsProprotein Convertase 9SimvastatinBiological ProductsFlavonoidsPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9Simvastatin

Identifiers

PMID42853886
PMCPMC13652269

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.