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

dc.contributor.authorAkash, Shopnil
dc.contributor.authorAovi, Farjana Islam
dc.contributor.authorAzad, Md. A. K.
dc.contributor.authorKumer, Ajoy
dc.contributor.authorChakma, Unesco
dc.contributor.authorIslam, Md. Rezaul
dc.contributor.authorMukerjee, Nobendu
dc.contributor.authorRahman, Md. Mominur
dc.contributor.authorBayıl, Imren
dc.contributor.authorRashid, Summya
dc.contributor.authorSharma, Rohit
dc.date.accessioned2024-04-21T03:32:04Z
dc.date.available2024-04-21T03:32:04Z
dc.date.issued2023-10-12
dc.description.abstractTriple-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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12073
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12073
dc.language.isoen_US
dc.publisherPLOS
dc.sourceDIU Institutional Repository
dc.subjectBreast cancer
dc.subjectDiseases
dc.subjectTreatment
dc.subjectMedicine
dc.subjectDrug design
dc.titleA Drug Design Strategy Based on Molecular Docking and Molecular Dynamics Simulations Applied to Development of Inhibitor Against Triple-Negative Breast Cancer by Scutellarein Derivatives
dc.typeArticle

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