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Multitargeted inhibitory effect of Mitoxantrone 2HCl on cervical cancer cell cycle regulatory proteins: a
Mohammed Ali Alshehri1, Saeed Ahmed Asiri1, Abdulrahman Alzahrani2
1Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, P. O. Box 7 1988, Najran, 61441, Saudi Arabia.
Abstract:
Cervical cancer remains a significant global health concern that starts in the cervix, the lower part of the uterus that connects to the vagina and is caused by the human papillomavirus (HPV), necessitating the development of effective multitargeted effective and resistance-proof therapies. In early-stage cervical cancer may not show any symptoms, however, as the cancer progresses, some people may experience- abnormal vaginal bleeding, watery or bloody vaginal discharge, pain in the pelvis or lower back, pain during sex, and frequent and painful urination. In this study, we screened the complete FDA-approved drug library using a multitargeted inhibitory approach against four cervical cancer proteins, namely mitotic arrest deficient -2, DNA polymerase epsilon B-subunit, benzimidazole-related -1, and threonine-protein kinase-1 which crucially plays its role for the in its development process. We employed the HTVS, SP and XP algorithms for efficient filtering and screening that helped to identify Mitoxantrone 2HCl against all of them with docking and MM\GBSA scores ranging from - 11.63 to - 7.802 kcal/mol and - 74.38 to - 47.73 kcal/mol, respectively. We also evaluated the interaction patterns of each complex and the pharmacokinetics properties that helped gain insight into interactions. Subsequently, we performed multiscale MD simulations for 100 ns to understand the dynamic behaviour and stability of the Mitoxantrone 2HCl -protein complexes that revealed the formation of stable drug-protein complexes and provided insights into the molecular interactions that contribute to Mitoxantrone's inhibitory effects on these proteins and can be a better drug for cervical cancer. However, experimental studies of these findings could pave the way for therapies to combat cervical cancer effectively.
Insights
Mitoxantrone 2HCl shows promise as a multitargeted therapy for cervical cancer by inhibiting key proteins. Molecular simulations confirm stable drug-protein complexes, suggesting potential for effective treatment against human papillomavirus (HPV)-driven cancer.
Area of Science:
- Oncology
- Pharmacology
- Computational Biology
Background:
- Cervical cancer, often caused by human papillomavirus (HPV), is a significant global health issue.
- Current treatments face challenges with resistance, necessitating novel multitargeted therapies.
- Early-stage cervical cancer may be asymptomatic, delaying diagnosis and treatment.
Purpose of the Study:
- To identify effective multitargeted drugs against key cervical cancer proteins using a drug library screen.
- To evaluate the inhibitory potential of identified compounds against specific cervical cancer targets.
- To assess the stability and molecular interactions of potential drug candidates through simulations.
Main Methods:
- Screening of the FDA-approved drug library against four critical cervical cancer proteins: MAD2, POL2, BIRC1, and AURKA.
- Utilizing docking algorithms (HTVS, SP, XP) and MM/GBSA scoring for compound filtering and scoring.
- Performing 100 ns multiscale molecular dynamics (MD) simulations to analyze drug-protein complex stability and interactions.
Main Results:
- Mitoxantrone 2HCl was identified as a potent inhibitor targeting all four selected cervical cancer proteins.
- Docking and MM/GBSA scores indicated strong binding affinities, with scores ranging from -11.63 to -7.802 kcal/mol and -74.38 to -47.73 kcal/mol, respectively.
- MD simulations demonstrated the formation of stable Mitoxantrone 2HCl-protein complexes, revealing key molecular interactions.
Conclusions:
- Mitoxantrone 2HCl exhibits significant potential as a multitargeted therapeutic agent for cervical cancer.
- The identified drug-protein interactions provide molecular insights into Mitoxantrone's inhibitory mechanism.
- Further experimental validation is crucial to translate these computational findings into effective clinical therapies.
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