Exploring shared therapeutic targets for Alzheimer’s disease and glioblastoma using network pharmacology and protein-protein interaction approach

The present study provides a strong computational foundation for further <i>in vitro</i> and <i>in vivo</i> validation. The results highlight the potential of luteolin in developing dual-target treatment strategies for neurodegenerative and oncological disorders, offering new avenues for therapeutic advancements.

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Publication Details

Journal
Frontiers in Chemistry
Published
2025-03-12
DOI
https://doi.org/10.3389/fchem.2025.1549186
Citations
16
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
24.07
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article

Exploring shared therapeutic targets for Alzheimer’s disease and glioblastoma using network pharmacology and protein-protein interaction approach

E. S. Sushmitha, Natalia Manturova, Ekaterina Silina, Sushma Pradeep et al.
16 citations
Frontiers in Chemistry
Computational Drug Discovery Methods
24.07
article

Exploring shared therapeutic targets for Alzheimer’s disease and glioblastoma using network pharmacology and protein-protein interaction approach

E. S. Sushmitha, Natalia Manturova, Ekaterina Silina, Sushma Pradeep, Divya Suresh, Madhusudan Purohit, Chandan Shivamallu, Victor Stupin, Shiva Prasad Kollur, Raghu Ram Achar, S. Nanjunda Swamy, Pruthvish Reddy, M. R. Sai Chakith, S. R. Sindhushree
article en
16 citations

Abstract

The present study provides a strong computational foundation for further <i>in vitro</i> and <i>in vivo</i> validation. The results highlight the potential of luteolin in developing dual-target treatment strategies for neurodegenerative and oncological disorders, offering new avenues for therapeutic advancements.

Frontiers in ChemistryVol. 13
JSS Academy of Higher Education and Research (IN), Sechenov University (RU), Pirogov Russian National Research Medical University (RU), JSS Science and Technology University (IN), Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 0%
Computational Drug Discovery Methods
24.07
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