ArticleIn silico pharmacology2021
Structural analysis and prediction of potent bioactive molecule for eNOS protein through molecular docking.
Article in In silico pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Computational Simulation of the Bioactivity of Selected Compounds Derived From the Sapium and Salvias Genera as Anticancer Agents.BioMed research international · 2026Article
- Identification of novel angiotensin I-converting enzyme inhibitory peptides from walnut (Current research in food science · 2025Article
- Therapeutic potential of Bacopa monnieri extracts against hepatocellular carcinoma through in-vitro and computational studies.PloS one · 2025Article
- Cytotoxicity and molecular docking analysis of phytochemicals fromBioinformation · 2024Article
- Phytochemical profiling and cytotoxic potential of Arnebia nobilis root extracts against hepatocellular carcinoma using in-vitro and in-silico approaches.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reactive oxygen species by uncoupled eNOS is linked to endothelial dysfunction. Ellagic acid (EA), a polyphenol possesses numerous biological activities including radical scavenging. whether EA exerts a vasculo-protective effect via antioxidant mechanisms in blood vessels remains unknown. Molecular docking provides an initial model of protein and molecular interactions in various physiological and/or pathological functions. To identify a eNOS modulatory biomolecule through molecular docking as possible vascular protective agent. On the basis of binding affinities and other physicochemical features, a molecular docking-based approach was used to classify and evaluate eNOS binding micronutrients found in natural sources, Lipinski's rule was used taking into account their adsorption, delivery, metabolism, and excretion (ADME). An
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