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Introduction and Aim: Pancreatic adenocarcinoma, which develops from the exocrine pancreas, is the most prevalent and aggressive type of pancreatic tumour having increased global prevalence, and has more than doubled over the 30 years. The aim of this study is to explore therapeutic potential of Camellia sinensis for pancreatic cancer using mRNA datasets and molecular docking technology.

Materials and Methods: The purpose of the current study is to use computational methods to assess the effectiveness of several Camellia sinensis phytochemicals against Pancreatic cancer. The IMMPAT databank is utilized to retrieve the possible ligands. Molecular docking was methodically carried out using the virtual screening tool PyRx and the BIOVIA Discovery Studio Visualizer to forecast the binding affinity among the phytochemicals and the targeted proteins. Using ADMET filters, the ligands' pharmacological …