Network Pharmacology of Natural Polyphenols for Stroke: A Bioinformatic Approach to Drug Design

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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Publication Details

Journal
Advances and Applications in Bioinformatics and Chemistry
Published
2025-10-01
DOI
https://doi.org/10.2147/aabc.s470861
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
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article

Network Pharmacology of Natural Polyphenols for Stroke: A Bioinformatic Approach to Drug Design

Ling Shing Wong, T. Tamilanban, Vetriselvan Subramaniyan, Siew Hua Gan et al.
3 citations
Advances and Applications in Bioinformatics and Chemistry
Computational Drug Discovery Methods
4.51
article

Network Pharmacology of Natural Polyphenols for Stroke: A Bioinformatic Approach to Drug Design

Ling Shing Wong, T. Tamilanban, Vetriselvan Subramaniyan, Siew Hua Gan, Arunkumar Subramanian, Yuan Seng Wu, Mahendran Sekar, Vinoth Kumarasamy, Adel Al Fatease, Amrita Muralikrishnan, S. Dutta, M. Yasmin Begum
article en
3 citations

Abstract

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.

Advances and Applications in Bioinformatics and ChemistryVol. Volume 17
Monash University Malaysia (MY), INTI International University (MY), SRM Institute of Science and Technology (IN), University Kebangsaan Malaysia Medical Centre (MY), Mahsa University (MY), King Khalid University (SA), Sunway University (MY)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
4.51
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