EGFR-Pathway Inhibiting Anticancer Mechanisms of Pteridophytic Bioactive Compounds: A Network Pharmacology and Molecular Docking Approach

This study used network pharmacology and molecular docking to assess the anticancer potential of Polypodiaceae pteridophytes. Key bioactive compounds were discovered and assessed for pharmacokinetics, target prediction, and pathway involvement. A compound-target network identified 246 common targets with substantial interaction patterns. Enrichment analysis identified EGFR signaling as a key route. Docking demonstrated the high binding of drugs to targets such as AKT1, SRC, and EGFR. The findings show that Polypodiaceae components offer potential as anticancer drugs, which justifies additional experimental confirmation.

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Publication Details

Journal
Oriental Journal Of Chemistry
Published
2025-10-31
DOI
https://doi.org/10.13005/ojc/410509
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

EGFR-Pathway Inhibiting Anticancer Mechanisms of Pteridophytic Bioactive Compounds: A Network Pharmacology and Molecular Docking Approach

Priya Bansal, Surya Prakash, Rajni Sawanny, Krishan Kant et al.
Oriental Journal Of Chemistry
Computational Drug Discovery Methods
article

EGFR-Pathway Inhibiting Anticancer Mechanisms of Pteridophytic Bioactive Compounds: A Network Pharmacology and Molecular Docking Approach

Priya Bansal, Surya Prakash, Rajni Sawanny, Krishan Kant, Abhishek Kumar, Siddhi Gupta
article en

Abstract

This study used network pharmacology and molecular docking to assess the anticancer potential of Polypodiaceae pteridophytes. Key bioactive compounds were discovered and assessed for pharmacokinetics, target prediction, and pathway involvement. A compound-target network identified 246 common targets with substantial interaction patterns. Enrichment analysis identified EGFR signaling as a key route. Docking demonstrated the high binding of drugs to targets such as AKT1, SRC, and EGFR. The findings show that Polypodiaceae components offer potential as anticancer drugs, which justifies additional experimental confirmation.

Oriental Journal Of ChemistryVol. 41(5)
Institute of Management Technology (IN)
Openalex Percentile: Top 67%
Computational Drug Discovery Methods
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