Exploring the therapeutic potential of green tea phytocompounds for pancreatic cancer: An mRNA differential gene expression and pathway analysis study

Q4 Biochemistry, Genetics and Molecular Biology
Bhavana Sunkadakatte Venugopal, Susha Dinesh, Sameer Sharma, Srivarshini Govinda Srinivasan, Dinesh Sosalagere Manjegowda
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Abstract

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 assessment was completed. Results: The fifty-two phytochemicals identified from Camellia sinensis were initially screened based on their affinity towards the targeted proteins. The ligand binding affinity score suggested that the phytochemical Vitamin E had the greater affinity towards the two targeted proteins and can be a promising therapeutic potential for the study of pancreatic cancer. Conclusion: The outcomes of this investigation suggested that the phytocompound Vitamin E, upon molecular docking exhibited the highest binding affinity which can be used as a drug candidate for pancreatic cancer.
探索绿茶植物化合物对胰腺癌的治疗潜力:mRNA差异基因表达和途径分析研究
简介和目的:胰腺腺癌起源于外分泌胰腺,是最普遍和最具侵袭性的胰腺肿瘤类型,全球患病率增加,在30年内增加了一倍多。本研究旨在利用mRNA数据集和分子对接技术探索山茶对胰腺癌的治疗潜力。材料与方法:本研究的目的是利用计算方法评估几种茶树植物化学物质对胰腺癌的有效性。利用IMMPAT数据库检索可能的配体。利用虚拟筛选工具PyRx和BIOVIA Discovery Studio Visualizer系统地进行分子对接,预测植物化学物质与目标蛋白之间的结合亲和力。使用ADMET过滤器,完成配体的药理学评估。结果:从茶树中初步筛选出52种植物化学物质,并根据它们对目标蛋白的亲和力进行筛选。配体结合亲和力评分表明植物化学物质维生素E对这两种靶向蛋白具有更大的亲和力,在胰腺癌的研究中具有很好的治疗潜力。结论:本研究结果表明,植物化合物维生素E在分子对接时具有最高的结合亲和力,可作为胰腺癌的候选药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedicine (India)
Biomedicine (India) Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
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