ArticleCancer informatics2022
Molecular Modeling Studies of Natural Inhibitors of Androgen Signaling in Prostate Cancer.
Article in Cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
The trial behind it
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Bioactive Natural Products Targeting Androgen Receptor Signaling in Prostate Cancer: A Systematic Review.Cancers · 2026Review
- Triptonide-mediated PTGS2 Inhibition Induces Autophagic Cell Death to Suppress the Progression of Triple-negative Breast Cancer and Epithelial Ovarian Cancer.International journal of biological sciences · 2026Article
- Identification of phyto-compounds fromIn silico pharmacology · 2025Article
- Computational identification of potential acetylcholinesterase (AChE) and monoamine oxidase-B inhibitors fromIn silico pharmacology · 2024Article
- Computational identification of potential modulators of heme-regulated inhibitor (HRI) for pharmacological intervention against sickle cell disease.Research square · 2023Article
- Optimal molecular binding data and pharmacokinetic profiles of novel potential triple-action inhibitors of chymase, spleen tyrosine kinase, and prostaglandin D2 receptor in the treatment of asthma.Journal, genetic engineering & biotechnology · 2023Article
- Potential Inhibitory Biomolecular Interactions of Natural Compounds With Different Molecular Targets of Diabetes.Bioinformatics and biology insights · 2023Article
- Cu(II)-Catalysed Hydrocarboxylation of Imines Utilizing COPharmaceuticals (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is the second most common disease in men and the sixth leading cause of death from cancer globally, with 20 million men expected to be affected by 2024 thus considered as chronic illness which requires immediate attention. As an androgen-dependent illness that relies on the androgen receptor for development and progression, inhibition of the androgen receptor can lead to a therapeutic solution, hence serving as a vital therapeutic target. This study focused on the computational analysis of the inhibitory potentials of Vitis vinifera, a reported plant with anti-cancer properties, against androgen receptor employing molecular docking, ADMET studies, Binding energy study, pharmacophore modeling, and molecular dynamics simulation approaches. After the investigation, it was determined that 5 compounds: cis-piceid, cis-astrigin, gallocatechin, phlorizin, and trans-polydatin, might be possible androgen receptor inhibitors since they had higher docking scores and ADMET qualities than compared standards, with cis-piceid being the best-predicted inhibitor.
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What OpenQuestion holds
Registered trials
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.