Integrative bioinformatic analysis to identify potential phytochemical candidates for glioblastoma

Integrative bioinformatic analysis to identify potential phytochemical candidates for glioblastoma

Glioblastoma (GBM) is one of the most malignant forms of cancer with the lowest survival ratio. Our study aims to utilize an integrated bioinformatic analysis to identify hub genes against GBM and explore the active phytochemicals with drug-like properties in treating GBM. The study employed databas...

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Bibliographic Details
Main Authors: Hafiza Maria Usmani Rana, Haseeb Nisar, Jignesh Prajapati, Dweipayan Goswami, Ravi Rawat, Volkan Eyupoglu, Samiah Shahid, Anum Javaid, Wardah Nisar
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Glioblastoma
Phytochemicals
Hub genes
Molecular docking
MD simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024167758
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http://www.sciencedirect.com/science/article/pii/S2405844024167758

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