Fragment-Based Drug Discovery of KIF11 Inhibitors for Glioblastoma Treatment: Molecular Insights and Therapeutic Potential

Fragment based novel drug identification and its validation through use of molecular dynamics and simulations.Comparing primary microcephaly genes with glioblastoma expression profiles reveals potential oncogenes, with proteins that support growth and survival in neural stem/progenitor cells likely retaining critical roles in glioblastoma. Identifying such proteins in familial and congenital microcephalic disorders offers promising targets for brain tumor therapy. Among these, KIF11, a kinesin motor protein (KSP), stands out as a significant oncogene. Expression analyses across various cancer types, including glioblastoma, demonstrate its overexpression in brain tumor patients. Using a targeted fragment-based drug discovery approach, we explored alternative small molecule inhibitors for KIF11. Existing drugs, such as ispinesib, are limited by side effects and multidrug resistance. Through molecular docking and simulations, we identified three candidate drug fragments. Further analysis confirmed that Mol-121026 exhibits a more stable interaction with KIF11 compared to ispinesib. Detailed analyses indicate that Mol-121026 binds to the same active site as the reference drug, effectively inhibiting KIF11's mechano-chemical activity. Importantly, Mol-121026, a derivative of 3-phenyl-1H-pyrazol-5-carboxylic acid, offers a promising alternative due to its lower molecular complexity, ability to target allosteric sites, and potential for optimization into a potent and effective drug candidate. Our findings identified Mol-121026 as a top candidate with a docking score of -10.2 kcal/mol and MM/GBSA binding energy of -19.10 kcal/mol. Molecular dynamics simulations revealed stable interactions with key residues GLU116 and GLU118, supporting its potential as a promising KIF11 inhibitor.

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Journal
Drug Research
Published
2025-01-22
DOI
https://doi.org/10.1055/a-2512-9183
Citations
1
Primary Topic
Cancer Mechanisms and Therapy
Type
article
Field-Weighted Citation Impact
1.47
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article

Fragment-Based Drug Discovery of KIF11 Inhibitors for Glioblastoma Treatment: Molecular Insights and Therapeutic Potential

Muhammad Ajmal Khan, Shengxia Chen, Qais Ahmad Naseer, Cao Xuexian et al.
1 citations
Drug Research
Cancer Mechanisms and Therapy
1.47
article

Fragment-Based Drug Discovery of KIF11 Inhibitors for Glioblastoma Treatment: Molecular Insights and Therapeutic Potential

Muhammad Ajmal Khan, Shengxia Chen, Qais Ahmad Naseer, Cao Xuexian, Deng Yimai
article en
1 citations

Abstract

Fragment based novel drug identification and its validation through use of molecular dynamics and simulations.Comparing primary microcephaly genes with glioblastoma expression profiles reveals potential oncogenes, with proteins that support growth and survival in neural stem/progenitor cells likely retaining critical roles in glioblastoma. Identifying such proteins in familial and congenital microcephalic disorders offers promising targets for brain tumor therapy. Among these, KIF11, a kinesin motor protein (KSP), stands out as a significant oncogene. Expression analyses across various cancer types, including glioblastoma, demonstrate its overexpression in brain tumor patients. Using a targeted fragment-based drug discovery approach, we explored alternative small molecule inhibitors for KIF11. Existing drugs, such as ispinesib, are limited by side effects and multidrug resistance. Through molecular docking and simulations, we identified three candidate drug fragments. Further analysis confirmed that Mol-121026 exhibits a more stable interaction with KIF11 compared to ispinesib. Detailed analyses indicate that Mol-121026 binds to the same active site as the reference drug, effectively inhibiting KIF11's mechano-chemical activity. Importantly, Mol-121026, a derivative of 3-phenyl-1H-pyrazol-5-carboxylic acid, offers a promising alternative due to its lower molecular complexity, ability to target allosteric sites, and potential for optimization into a potent and effective drug candidate. Our findings identified Mol-121026 as a top candidate with a docking score of -10.2 kcal/mol and MM/GBSA binding energy of -19.10 kcal/mol. Molecular dynamics simulations revealed stable interactions with key residues GLU116 and GLU118, supporting its potential as a promising KIF11 inhibitor.

Drug ResearchVol. 75(03/04)
Jiangsu University (CN), University of Maryland, Baltimore (US), Suzhou University of Technology (CN), Changshu No.1 People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 23%
Cancer Mechanisms and Therapy
1.47
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