Protopine as a Potential Breast Cancer Therapeutic: A Computational Study Targeting PIK3CA and Cancer Networks

Abstract Breast cancer is driven by complex oncogenic mechanisms, including aberrant signaling pathways and genetic mutations. Current therapies often face limitations, such as drug resistance and adverse effects, necessitating the identification of novel therapeutic agents. Protopine, known for its anticancer properties in other malignancies, remains unexplored for breast cancer. This study investigates the therapeutic potential of protopine in breast cancer by examining its effects on critical molecular targets and signaling pathways involved in tumor progression and metastasis through computational pharmacological approaches. Breast cancer‐associated targets were identified, and protopine's binding affinity for PIK3CA was evaluated using molecular docking and molecular dynamics simulations. Binding stability and dynamics were assessed using RMSD, hydrogen bonding analysis, and MM‐PBSA energy calculations. Protopine exhibited multitargeted activity, interacting with 17 breast cancer‐associated targets, including PIK3CA, CHEK1, and CDK2. It modulated critical pathways such as PI3K‐Akt, JAK‐STAT, and VEGF, disrupting processes like cell proliferation and angiogenesis. Molecular docking showed strong binding affinity for PIK3CA (−9.2 kcal/mol), while molecular dynamics confirmed stable binding with favorable free energy (−6.71 ± 0.64 kcal/mol). Protopine demonstrated significant therapeutic promise as a multitargeted agent, modulating key oncogenic pathways and providing the potential to overcome resistance and improve breast cancer therapies.

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Publication Details

Journal
ChemistrySelect
Published
2025-07-01
DOI
https://doi.org/10.1002/slct.202500564
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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article

Protopine as a Potential Breast Cancer Therapeutic: A Computational Study Targeting PIK3CA and Cancer Networks

Jagdish Chand, Sabry Mohamed Attia, Sheikh F. Ahmad, Talha Bin Emran et al.
1 citations
ChemistrySelect
Computational Drug Discovery Methods
1.50
article

Protopine as a Potential Breast Cancer Therapeutic: A Computational Study Targeting PIK3CA and Cancer Networks

Jagdish Chand, Sabry Mohamed Attia, Sheikh F. Ahmad, Talha Bin Emran, Hannah Lalengzuali Fanai
article en
1 citations

Abstract

Abstract Breast cancer is driven by complex oncogenic mechanisms, including aberrant signaling pathways and genetic mutations. Current therapies often face limitations, such as drug resistance and adverse effects, necessitating the identification of novel therapeutic agents. Protopine, known for its anticancer properties in other malignancies, remains unexplored for breast cancer. This study investigates the therapeutic potential of protopine in breast cancer by examining its effects on critical molecular targets and signaling pathways involved in tumor progression and metastasis through computational pharmacological approaches. Breast cancer‐associated targets were identified, and protopine's binding affinity for PIK3CA was evaluated using molecular docking and molecular dynamics simulations. Binding stability and dynamics were assessed using RMSD, hydrogen bonding analysis, and MM‐PBSA energy calculations. Protopine exhibited multitargeted activity, interacting with 17 breast cancer‐associated targets, including PIK3CA, CHEK1, and CDK2. It modulated critical pathways such as PI3K‐Akt, JAK‐STAT, and VEGF, disrupting processes like cell proliferation and angiogenesis. Molecular docking showed strong binding affinity for PIK3CA (−9.2 kcal/mol), while molecular dynamics confirmed stable binding with favorable free energy (−6.71 ± 0.64 kcal/mol). Protopine demonstrated significant therapeutic promise as a multitargeted agent, modulating key oncogenic pathways and providing the potential to overcome resistance and improve breast cancer therapies.

ChemistrySelectVol. 10(25)
JSS Academy of Higher Education and Research (IN), Brown University (US), King Saud University (SA), Scriptorium (CZ)
JSS College of Pharmacy, King Saud University
Good health and well-being
Openalex Percentile: Top 15%
Computational Drug Discovery Methods
1.50
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