COMPUTATIONAL EVALUATION OF PHYTOCHEMICAL CONSTITUENTS FROM MALUS PUMILA (APPLE) FOR BREAST CANCER TREATMENT

Suneetha Yeguvapalli, Durga Rathikota
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Abstract

Apple is a widely consumed fruit that is accessible throughout the year and is high in phytochemicals. The current study's major goal is to use computational methodologies to discover new anti-cancer medication candidates from plants. The ligands of the plant malus pumila were docked with protein EGFR (PDB ID:1M17) to predict novel potential inhibitors that could be employed as anticancer medicines for breast cancer. Breast cancer is a complex disease with no known single cause that continues to be a global killer and the leading cause of cancer-related death in women. One of the first key targets of these emerging anticancer drugs was the epidermal growth factor receptor (EGFR).The physicochemical, pharmacokinetic, and drug-like properties help in the selection of the best compound for breast cancer treatment. Furthermore, a substantial study suggests that phytochemicals, which are plant secondary compounds have oncopreventive Properties.
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苹果植物化学成分对乳腺癌治疗的计算评价
苹果是一种广泛食用的水果,一年四季都可以买到,而且富含植物化学物质。目前研究的主要目标是使用计算方法从植物中发现新的抗癌药物候选物。将植物苹果配体与EGFR蛋白(PDB ID:1M17)对接,以预测可能作为乳腺癌抗癌药物的新型潜在抑制剂。乳腺癌是一种复杂的疾病,没有已知的单一病因,它仍然是全球杀手,也是妇女癌症相关死亡的主要原因。这些新兴抗癌药物的第一个关键靶点是表皮生长因子受体(EGFR)。其物理化学、药代动力学和药物样特性有助于选择治疗乳腺癌的最佳化合物。此外,大量研究表明植物化学物质作为植物次生化合物具有预防肿瘤的作用。
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