Abstract
Abstract: Kidney cancer, particularly renal cell carcinoma (RCC), is a significant global health concern characterized by its high morbidity and mortality rates. In this study, we employ a multifaceted approach to gain insights into the molecular mechanisms underlying kidney cancer and to identify potential drug targets for therapeutic intervention. To achieve this, we conducted a comprehensive comparative analysis of gene expression profiles in normal and cancerous kidney tissues, utilizing tools such as BLAST and gene analysis from the COSMIC database. This analysis allowed us to identify key genetic alterations and pathways associated with kidney cancer progression. Furthermore, molecular docking simulations were performed to predict potential drug candidates that could target specific proteins implicated in kidney cancer development. The aim was to prioritize molecules with high binding affinity and therapeutic potential. Additionally, cobalt analysis was utilized to investigate the metalloprotein content within kidney cancer cells, shedding light on potential metalloprotein targets for drug development.The results of this study provide valuable insights into the molecular basis of kidney cancer, offering a foundation for the identification of novel drug targets and the development of targeted therapies for this life-threatening disease. These findings contribute to our understanding of kidney cancer pathogenesis and may ultimately improve patient outcomes and the overall management of this challenging malignancy.
Published Version
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