Macitentan as a repurposed MCL-1 inhibitor in triple-negative breast cancer: Insights from molecular docking, MM-GBSA, and MD simulations

Triple-negative breast cancer (TNBC) remains a significant clinical challenge due to its aggressive nature and lack of targeted therapies. Overexpression of myeloid cell leukemia-1 (MCL-1) and polo-like kinase 1 (PLK1) contributes to tumor progression and therapeutic resistance, making them making them attractive therapeutic targets. This study explores the repurposing potential of FDA-approved endothelin receptor antagonists (ERAs); Macitentan, Ambrisentan, and Bosentan against MCL-1 and PLK1 using a comprehensive computational approach. Molecular docking, molecular mechanics-generalized born surface area (MM-GBSA) binding free energy calculations and molecular dynamics (MD) simulations analyses were employed to evaluate binding affinity and complex stability. Macitentan demonstrated the strongest binding to both targets, particularly MCL-1, with favorable docking (–9.023 kcal/mol) and MM-GBSA (–48.53 kcal/mol) scores, while Ambrisentan showed moderate affinity. Benchmarking with co-crystallized ligands confirmed the superior binding of R78 to PLK1, shifting the study’s focus to MCL-1. MD simulations confirmed the stability of Macitentan and Ambrisentan complexes with MCL-1, maintaining the root mean square deviation (RMSD) < 3.5 Å with minor drift around 4 Å and root mean square fluctuation (RMSF) < 2.5 Å. These findings support further experimental validation of Macitentan as a repurposed MCL-1 targeted therapy for TNBC.

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Publication Details

Journal
Journal of King Saud University - Science
Published
2026-04-25
DOI
https://doi.org/10.25259/jksus_1725_2025
Primary Topic
Microtubule and mitosis dynamics
Type
article
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article

Macitentan as a repurposed MCL-1 inhibitor in triple-negative breast cancer: Insights from molecular docking, MM-GBSA, and MD simulations

Abdulrahim A. Alzain, Alaa A. Makki, Walaa Ibraheem, Wadah Osman et al.
Journal of King Saud University - Science
Microtubule and mitosis dynamics
article

Macitentan as a repurposed MCL-1 inhibitor in triple-negative breast cancer: Insights from molecular docking, MM-GBSA, and MD simulations

Abdulrahim A. Alzain, Alaa A. Makki, Walaa Ibraheem, Wadah Osman, Mohammed Hamed Alqarni, Abdalla Fadlalla, Mohammed Abdelrhman, Mohamed A. El-Sakhawy, Ahmed Ashour, Ahmed I. Foudah
article en

Abstract

Triple-negative breast cancer (TNBC) remains a significant clinical challenge due to its aggressive nature and lack of targeted therapies. Overexpression of myeloid cell leukemia-1 (MCL-1) and polo-like kinase 1 (PLK1) contributes to tumor progression and therapeutic resistance, making them making them attractive therapeutic targets. This study explores the repurposing potential of FDA-approved endothelin receptor antagonists (ERAs); Macitentan, Ambrisentan, and Bosentan against MCL-1 and PLK1 using a comprehensive computational approach. Molecular docking, molecular mechanics-generalized born surface area (MM-GBSA) binding free energy calculations and molecular dynamics (MD) simulations analyses were employed to evaluate binding affinity and complex stability. Macitentan demonstrated the strongest binding to both targets, particularly MCL-1, with favorable docking (–9.023 kcal/mol) and MM-GBSA (–48.53 kcal/mol) scores, while Ambrisentan showed moderate affinity. Benchmarking with co-crystallized ligands confirmed the superior binding of R78 to PLK1, shifting the study’s focus to MCL-1. MD simulations confirmed the stability of Macitentan and Ambrisentan complexes with MCL-1, maintaining the root mean square deviation (RMSD) < 3.5 Å with minor drift around 4 Å and root mean square fluctuation (RMSF) < 2.5 Å. These findings support further experimental validation of Macitentan as a repurposed MCL-1 targeted therapy for TNBC.

Journal of King Saud University - ScienceVol. 0
Prince Sattam Bin Abdulaziz University (SA), University of Gezira (SD), Ras al-Khaimah Medical and Health Sciences University (AE)
Good health and well-being
Openalex Percentile: Top 11%
Microtubule and mitosis dynamics
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