Repurposing the Anti-Fungal Drug Itraconazole for the Treatment of Skin Cutaneous Melanoma: An in-Silico Study

Context: Itraconazole, a triazole antifungal drug, is being explored for its anti-cancer properties through in-silico approaches.  Aims: To investigate the repurposing potential of itraconazole against Skin Cutaneous Melanoma (SKCM) using network pharmacology and molecular docking.  Methods and Material: Target genes were identified using SwissTargetPrediction and TargetNet. SKCM-associated genes were collected from GeneCards, DisGeNET, and OMIM. Protein-protein interaction (PPI) network, GO and KEGG enrichment analyses, gene expression profiling, and docking studies were performed.  Statistical analysis used: Survival analysis and stage-wise expression were assessed using GEPIA2.  Results: Key genes identified included TNF, CASP8, EGFR, MAPK14, MMP9. Docking studies confirmed strong binding with several targets including MMP9 and CASP3.  Conclusions: Itraconazole shows promise as a therapeutic candidate in SKCM via modulation of apoptosis and immune pathways. Further experimental validation is warranted.

Authors

Publication Details

Published
2025-09-04
DOI
https://doi.org/10.38124/ijisrt/25aug1060
Primary Topic
Fungal Biology and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Repurposing the Anti-Fungal Drug Itraconazole for the Treatment of Skin Cutaneous Melanoma: An in-Silico Study

Ariharasivakumar Ganesan, Harish Kumar E.
Fungal Biology and Applications
article

Repurposing the Anti-Fungal Drug Itraconazole for the Treatment of Skin Cutaneous Melanoma: An in-Silico Study

Ariharasivakumar Ganesan, Harish Kumar E.
article en

Abstract

Context: Itraconazole, a triazole antifungal drug, is being explored for its anti-cancer properties through in-silico approaches.  Aims: To investigate the repurposing potential of itraconazole against Skin Cutaneous Melanoma (SKCM) using network pharmacology and molecular docking.  Methods and Material: Target genes were identified using SwissTargetPrediction and TargetNet. SKCM-associated genes were collected from GeneCards, DisGeNET, and OMIM. Protein-protein interaction (PPI) network, GO and KEGG enrichment analyses, gene expression profiling, and docking studies were performed.  Statistical analysis used: Survival analysis and stage-wise expression were assessed using GEPIA2.  Results: Key genes identified included TNF, CASP8, EGFR, MAPK14, MMP9. Docking studies confirmed strong binding with several targets including MMP9 and CASP3.  Conclusions: Itraconazole shows promise as a therapeutic candidate in SKCM via modulation of apoptosis and immune pathways. Further experimental validation is warranted.

Openalex Percentile: Top 73%
Fungal Biology and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.