基于生物信息学和Omics的乳腺癌视角:促进针对性基因鉴定,用于开发抗癌剂
Irmasari Irmasari1,2, Alim Khodimul Rahmat3, I Made Bayu Kresna Yoga1,2
1Master's Student in Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Gadjah Mada, Sekip Utara II, 55281 Yogyakarta, Indonesia.
Asian Pacific journal of cancer prevention : APJCP
|July 29, 2025
概括
生物信息学和奥米克学方法加速了从天然化合物和传统中医药 (TCM) 中发现乳腺癌药物. 这些方法提高了传统药物的疗效,支持临床应用的临床前验证.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 药理学 药理学是指药理学的学科.
背景情况:
- 乳腺癌是全球女性死亡的主要原因之一.
- 确定新的治疗点对于有效治疗至关重要.
- 生物信息学和奥米克斯方法为药物发现提供了创新的策略.
研究的目的:
- 通过使用生物信息学和奥米克学,审查从自然化合物和传统中医药 (TCM) 加速药物发现的情况.
- 探索这些天然产品与传统药物结合的潜力.
- 突出生物信息学工具和omics数据库在这个过程中的作用.
主要方法:
- 对过去五年研究的系统文献综述.
- 在PubMed,ScienceDirect和Scopus数据库中进行的搜索.
- 瑞安平台用于研究选择,将3800项研究缩小到70篇相关文章.
主要成果:
- 关键生物信息学方法的概述:数据挖掘,基因本体学 (GO) 丰富,基因和基因组的京都百科全书 (KEGG) 途径分析.
- 蛋白与蛋白相互作用 (PPI) 网络建设和枢纽基因选择确定了潜在的目标.
- 这些工具的应用加速了天然化合物和TCM的发现,提高了组合治疗的疗效.
结论:
- 了解omics数据库,网络服务器和软件有助于药物发现,并增强传统的乳腺癌治疗.
- 这种综合方法支持临床前验证 (体外和体内) 临床相关性.
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