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Melanoma’s Nemesis: Assessing the Pharmacological Impact of Curcumin and its Analogues as Inhibitors of Identified Biomarkers Via Network Pharmacology

Benita S Robin

Abstract


Objectives: Since the advent of next-generation sequencing, melanoma has been recognized as an immensely heterogeneous disease, leading to the discovery of numerous underlying genetic drivers over time. Bioinformatic and machine learning analyses have become increasingly prevalent in risk stratifying melanoma patients with high accuracy, leveraging genetic, clinical, and histopathological inputs. Via various research curcumin has been identified and also shown therapeutic efficacy in Melanoma. In order to reveal the interactions between medications and the target of illnesses, Network pharmacology was utilized, and it can completely articulate the complexity between diseases and medications. In the current study, to determine the underlying mechanism of curcumins protective effects on melanoma a network pharmacology technique was applied. Curcumin has been used and found in various studies, and preclinical models to demonstrate their medicinal efficacy. To discover novel medications for conditions like melanoma, the identification of diverse drug-target interactions using network pharmacology is utilized. Methods: In this study, the binding affinity of 32 curcumin and their derivatives to the targeted proteins was evaluated and those are PIK3CA, TP53, HRAS, and NRAS. To carry out the molecular docking a virtual tool called PyRx was used. Using the information and structure of protein and phytocompounds the research was done computationally using Drug Bank, PubChem, Gene Cards, Cosmic and Stitch. The protein structure was evaluated using the BIOVIA discovery studio software. ADMET screening was used to analyse the ligands pharmacological properties. Results: The phytocompounds Pelubiprofen, ASC-JM-17, Ilepcimide, Piceatannol, N-Caffeoyltyramine had the best binding affinity for the four targeted proteins upon molecular docking in this study. Conclusion: According to the results of molecular docking a theoretical basis was provided for the pharmacological impact study of curcumin as inhibitors of identified biomarkers on melanoma. 


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DOI: https://doi.org/10.37628/ijan.v9i1.999

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