Multitargeting Inhibitory Activity of <i>Moringa oleifera</i> Natural Plant Product Scaffolds against Proteins Implicated in Chronic Myeloid Leukemia: Insights from Molecular Docking, Molecular Dynamics and ADMET Predictions

Chronic myeloid leukemia (CML) remains among the most prevalent hematologic malignancies in many developing countries. The disease accounts for 15% of all newly diagnosed adult leukemias in the world. Although tyrosine kinase inhibitors offer effective disease control, therapeutic accessibility and long-term efficacy remain major challenges in local clinical settings. Moringa oleifera, a widely consumed vegetable, is known for its rich profile of phytochemicals with reported cytotoxic, antioxidant and anticancer properties. This study applied integrative computational modeling approaches to predict the inhibitory potential of 91 secondary metabolites from M. oleifera against key regulatory proteins implicated in CML progression: breakpoint cluster region-Abelson tyrosine kinase (BCR-ABL1), c-Src kinase, and fms-like tyrosine kinase 3 (FLT3). Using docking simulations, lycopene (16) exhibited strong predicted affinity for BCR-ABL1 (binding energy or BE [Formula: see text] –9.9 kcal/mol), while [Formula: see text]-carotene (6) showed the highest binding potential to c-Src (BE [Formula: see text] –11.0 kcal/mol) and FLT3 (BE [Formula: see text] –11.7 kcal/mol). Subsequent molecular dynamics simulations affirmed the thermodynamic stability of these ligand–target complexes, suggesting sustained interaction under physiological conditions. The majority of top-binding ligands were also predicted to have favorable drug-likeness, and pharmacokinetic and toxicity profiles. These findings underscore the potential of M. oleifera as a valuable source of lead compounds for CML drug discovery and exemplify the utility of integrative computational approaches in identifying functionally relevant natural products, especially in resource-limited settings.

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Journal
Journal of Computational Biophysics and Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1142/s273741652650033x
Citations
1
Primary Topic
Moringa oleifera research and applications
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article
Field-Weighted Citation Impact
1.75
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article

Multitargeting Inhibitory Activity of Moringa oleifera Natural Plant Product Scaffolds against Proteins Implicated in Chronic Myeloid Leukemia: Insights from Molecular Docking, Molecular Dynamics and ADMET Predictions

Allan Patrick G. Macabeo, J. Arévalo, Joe Anthony Manzano, Mark Tristan J. Quimque et al.
1 citations
Journal of Computational Biophysics and Chemistry
Moringa oleifera research and applications
1.75
article

Multitargeting Inhibitory Activity of Moringa oleifera Natural Plant Product Scaffolds against Proteins Implicated in Chronic Myeloid Leukemia: Insights from Molecular Docking, Molecular Dynamics and ADMET Predictions

Allan Patrick G. Macabeo, J. Arévalo, Joe Anthony Manzano, Mark Tristan J. Quimque, Jay Carl M. Agbay, Patric Joshua R. Fabrique, Reign Au Ruhamma Ammi D. Parico, Adrienne Nicole Maldupana
article en
1 citations

Abstract

Chronic myeloid leukemia (CML) remains among the most prevalent hematologic malignancies in many developing countries. The disease accounts for 15% of all newly diagnosed adult leukemias in the world. Although tyrosine kinase inhibitors offer effective disease control, therapeutic accessibility and long-term efficacy remain major challenges in local clinical settings. Moringa oleifera, a widely consumed vegetable, is known for its rich profile of phytochemicals with reported cytotoxic, antioxidant and anticancer properties. This study applied integrative computational modeling approaches to predict the inhibitory potential of 91 secondary metabolites from M. oleifera against key regulatory proteins implicated in CML progression: breakpoint cluster region-Abelson tyrosine kinase (BCR-ABL1), c-Src kinase, and fms-like tyrosine kinase 3 (FLT3). Using docking simulations, lycopene (16) exhibited strong predicted affinity for BCR-ABL1 (binding energy or BE [Formula: see text] –9.9 kcal/mol), while [Formula: see text]-carotene (6) showed the highest binding potential to c-Src (BE [Formula: see text] –11.0 kcal/mol) and FLT3 (BE [Formula: see text] –11.7 kcal/mol). Subsequent molecular dynamics simulations affirmed the thermodynamic stability of these ligand–target complexes, suggesting sustained interaction under physiological conditions. The majority of top-binding ligands were also predicted to have favorable drug-likeness, and pharmacokinetic and toxicity profiles. These findings underscore the potential of M. oleifera as a valuable source of lead compounds for CML drug discovery and exemplify the utility of integrative computational approaches in identifying functionally relevant natural products, especially in resource-limited settings.

Journal of Computational Biophysics and ChemistryVol. 25(11)
Visayas State University (PH), Ateneo de Manila University (PH), University of the Philippines Mindanao (PH), Mindanao State University – Iligan Institute of Technology (PH), University of Regensburg (DE), University of Santo Tomas (PH), University of the Philippines Diliman (PH)
Openalex Percentile: Top 11%
Moringa oleifera research and applications
1.75
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