Computational identification of Moracin G and Isolonchocarpin as potent MELK inhibitors for anticancer drug discovery

Maternal embryonic leucine zipper kinase (MELK) is a promising therapeutic target in cancer due to its overexpression in aggressive tumors and role in cell survival, proliferation, and therapy resistance. No MELK inhibitors are currently FDA-approved, so identifying potential leads is necessary for therapeutic development. In this study, we employed a computational pipeline to identify natural compounds from the IMPPAT 2.0 database as potential MELK inhibitors. Virtual high-throughput screening of 11,406 phytochemicals against the MELK kinase domain (PDB ID: 5K00) identified 15 top hits with binding affinities ranging from - 10.9 to - 9.9 kcal/mol. Subsequent ADMET evaluation prioritized two compounds, Moracin G and Isolonchocarpin, which demonstrated favorable pharmacokinetic profiles and no PAINS alerts. PASS analysis revealed their strong antineoplastic and kinase-inhibitory potential, with Pa values > 0.5 for key activities. Molecular dynamics simulations for 300 ns confirmed stable binding of these compounds to MELK's ATP-binding site, with RMSD values ≤ 0.28 nm and compact structural dynamics (Rg ~ 1.94 nm). Principal component analysis, free energy landscapes, and MM-PBSA analyses highlighted stable conformations and appreciable binding free energies in MELK-ligand complexes, suggesting enhanced stability. These findings position Moracin G and Isolonchocarpin as promising scaffolds for developing selective MELK inhibitors, offering a pathway to disrupt cancer cell survival and improve therapeutic outcomes, although experimental validation is still required.

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Publication Details

Journal
Scientific Reports
Published
2025-12-06
DOI
https://doi.org/10.1038/s41598-025-29868-5
Primary Topic
FOXO transcription factor regulation
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational identification of Moracin G and Isolonchocarpin as potent MELK inhibitors for anticancer drug discovery

M. S. Khan, Azna Zuberi, Prathibha Prasad, Areej Ali Alzahrani
Scientific Reports
FOXO transcription factor regulation
article

Computational identification of Moracin G and Isolonchocarpin as potent MELK inhibitors for anticancer drug discovery

M. S. Khan, Azna Zuberi, Prathibha Prasad, Areej Ali Alzahrani
article en

Abstract

Maternal embryonic leucine zipper kinase (MELK) is a promising therapeutic target in cancer due to its overexpression in aggressive tumors and role in cell survival, proliferation, and therapy resistance. No MELK inhibitors are currently FDA-approved, so identifying potential leads is necessary for therapeutic development. In this study, we employed a computational pipeline to identify natural compounds from the IMPPAT 2.0 database as potential MELK inhibitors. Virtual high-throughput screening of 11,406 phytochemicals against the MELK kinase domain (PDB ID: 5K00) identified 15 top hits with binding affinities ranging from - 10.9 to - 9.9 kcal/mol. Subsequent ADMET evaluation prioritized two compounds, Moracin G and Isolonchocarpin, which demonstrated favorable pharmacokinetic profiles and no PAINS alerts. PASS analysis revealed their strong antineoplastic and kinase-inhibitory potential, with Pa values > 0.5 for key activities. Molecular dynamics simulations for 300 ns confirmed stable binding of these compounds to MELK's ATP-binding site, with RMSD values ≤ 0.28 nm and compact structural dynamics (Rg ~ 1.94 nm). Principal component analysis, free energy landscapes, and MM-PBSA analyses highlighted stable conformations and appreciable binding free energies in MELK-ligand complexes, suggesting enhanced stability. These findings position Moracin G and Isolonchocarpin as promising scaffolds for developing selective MELK inhibitors, offering a pathway to disrupt cancer cell survival and improve therapeutic outcomes, although experimental validation is still required.

Scientific ReportsVol. 16(1)
Northwestern University (US), Ajman University (AE), King Saud University (SA)
King Saud University, Ajman University
Openalex Percentile: Top 65%
FOXO transcription factor regulation
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