What question did this study set out to answer?

The aim is to uncover dual-acting inhibitors derived from phytochemicals for treating melanoma and breast cancer.

April 6, 2026Current Computer - Aided Drug Design

Integrative Machine Learning and Network Pharmacology Approach to Uncover Phytochemical Therapeutics for Melanoma and Breast Cancer

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Authors

MAMadhu AnabalaVellore Institute of Technology University VJV. Vanitha JainVellore Institute of Technology University DSDeepak SharmaVellore Institute of Technology University

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Implication

This research demonstrates an integrative approach to identify phytochemical therapies for melanoma and breast cancer, highlighting new treatment potentials.

Key Points

The aim is to uncover dual-acting inhibitors derived from phytochemicals for treating melanoma and breast cancer.
Combined bioinformatics-driven phytochemical screening with machine learning-based QSAR modeling.
Developed classifiers such as Extra Trees and Random Forest to evaluate bioactivity.
Performed molecular docking studies to assess interactions of compounds with specific targets.
Extra Trees and Random Forest classifiers achieved 95% accuracy in predicting bioactivity.
Ombuin showed superior docking scores, indicating strong potential against IL6 and JUN.
MDS analysis indicated that IL6_Ombuin demonstrated better stability than reference ligands.

Cite This Study

Anabala et al. (2026) studied this question.

synapsesocial.com/papers/69d34e579c07852e0af97df0 https://doi.org/10.2174/0115734099446916260326100842

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Implication

This research demonstrates an integrative approach to identify phytochemical therapies for melanoma and breast cancer, highlighting new treatment potentials.

Integrative Machine Learning and Network Pharmacology Approach to Uncover Phytochemical Therapeutics for Melanoma and Breast Cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

Integrative Machine Learning and Network Pharmacology Approach to Uncover Phytochemical Therapeutics for Melanoma and Breast Cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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