ArticleAdvances and applications in bioinformatics and chemistry : AABC2024
Network Pharmacology of Natural Polyphenols for Stroke: A Bioinformatic Approach to Drug Design.
Article in Advances and applications in bioinformatics and chemistry : AABC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Metal coordination at biological interfaces: Mechanisms, therapeutics, and translation.Materials today. Bio · 2026Review
- Systems Biology and Structure-Based In Silico Evaluations of Quercetin-Psychobiotic Interactions for the Management of Depression.Pharmaceuticals (Basel, Switzerland) · 2026Article
- In Silico identification of inhalable small-molecule IL-33/ST2 antagonists for severe type-2-high asthma endotypes.Scientific reports · 2026Article
- Senotherapeutics for Brain Aging Management.Neurology international · 2025Review
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Authors and funding
12 authors.
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Abstract
Background: Globally, stroke is a major contributor to disability and a leading cause of death. Stroke is more frequent in underdeveloped countries, where ischemic stroke is one of the most common kinds. Therefore, it is imperative to unravel the processes of ischemic stroke in more depth and develop novel therapeutics to combat the condition. Polyphenols provide a significant preventive role against multiple diseases, including cancer, cardiovascular disorders, atherosclerosis, brain dysfunction, and stroke. Methods: In the current investigation, computational tools including Swiss Target prediction, DisGeNET, SwissADME, pkCSM, Cytoscape, InterActiVenn, STRING database, and DAVID database were utilized to identify the signaling pathways, putative targets, along with associated genes of the polyphenols for stroke prevention. Results: This study revealed the possible interactions between the disease targets for Stroke and the selected plant-based polyphenols. Docking results also exhibited the strong to moderate affinity of the selected ligands (Apigenin, Ellagic acid, Ferulic acid, Kaempferol, Genistein, Luteolin, Naringenin, and Quercetin) towards the selected disease target. Conclusion: This study highlights the neuroprotective role of selected polyphenols through the PI3K/Akt pathway. Further studies are required to investigate additional molecular mechanisms between the polyphenols and their derivatives against pathological targets of Stroke.
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