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A Drug Design Strategy Based on Molecular Docking and Molecular Dynamics Simulations Applied to Development of Inhibitor Against Triple-Negative Breast Cancer by Scutellarein Derivatives

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dc.contributor.author Akash, Shopnil
dc.contributor.author Aovi, Farjana Islam
dc.contributor.author Azad, Md. A. K.
dc.contributor.author Kumer, Ajoy
dc.contributor.author Chakma, Unesco
dc.contributor.author Islam, Md. Rezaul
dc.contributor.author Mukerjee, Nobendu
dc.contributor.author Rahman, Md. Mominur
dc.contributor.author Bayıl, Imren
dc.contributor.author Rashid, Summya
dc.contributor.author Sharma, Rohit
dc.date.accessioned 2024-04-21T03:32:04Z
dc.date.available 2024-04-21T03:32:04Z
dc.date.issued 2023-10-12
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12073
dc.description.abstract Triple-negative breast cancer (TNBC), accounting for 10–15% of all breast malignancies, is more prevalent in women under 40, particularly in those of African descent or carrying the BRCA1 mutation. TNBC is characterized by the absence of estrogen and progesterone receptors (ER, PR) and low or elevated HER2 expression. It represents a particularly aggressive form of breast cancer with limited therapeutic options and a poorer prognosis. In our study, we utilized the protein of TNBC collected from the Protein Data Bank (PDB) with the most stable configuration. We selected Scutellarein, a bioactive molecule renowned for its anti-cancer properties, and used its derivatives to design potential anti-cancer drugs employing computational tools. We applied and modified structural activity relationship methods to these derivatives and evaluated the probability of active (Pa) and inactive (Pi) outcomes using pass prediction scores. Furthermore, we employed in-silico approaches such as the assessment of absorption, distribution, metabolism, excretion, and toxicity (ADMET) parameters, and quantum calculations through density functional theory (DFT). Within the DFT calculations, we analyzed Frontier Molecular Orbitals, specifically the Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO). We then conducted molecular docking and dynamics against TNBC to ascertain binding affinity and stability. Our findings indicated that Scutellarein derivatives, specifically DM03 with a binding energy of -10.7 kcal/mol and DM04 with -11.0 kcal/mol, exhibited the maximum binding tendency against Human CK2 alpha kinase (PDB ID 7L1X). Molecular dynamic simulations were performed for 100 ns, and stability was assessed using root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) parameters, suggesting significant stability for our chosen compounds. Furthermore, these molecules met the pharmacokinetics requirements for potential therapeutic candidates, displaying non-carcinogenicity, minimal aquatic and non-aquatic toxicity, and greater aqueous solubility. Collectively, our computational data suggest that Scutellarein derivatives may serve as potential therapeutic agents for TNBC. However, further experimental investigations are needed to validate these findings. en_US
dc.language.iso en_US en_US
dc.publisher PLOS en_US
dc.subject Breast cancer en_US
dc.subject Diseases en_US
dc.subject Treatment en_US
dc.subject Medicine en_US
dc.subject Drug design en_US
dc.title A Drug Design Strategy Based on Molecular Docking and Molecular Dynamics Simulations Applied to Development of Inhibitor Against Triple-Negative Breast Cancer by Scutellarein Derivatives en_US
dc.type Article en_US


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