在癌症中使用化学蛋白质学和人工智能方法对自然产品的目标识别
Guohua Li1,2, Qian Shi2, Qibiao Wu1
1School of Pharmacy, Faculty of Medicine & Faculty of Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.
Cancer biology & medicine
|July 9, 2025
概括
自然产品 (NP) 通过向细胞通路,提供癌症治疗潜力. 化学蛋白质组学和人工智能 (AI) 加快了与癌症相关的NP目标的识别.
科学领域:
- 生物化学 生化学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 自然产品 (NPs) 已因其抗癌特性而闻名,它们在多种细胞通路上起作用.
- 识别NP的分子标对于理解它们在癌症治疗中的治疗机制至关重要.
研究的目的:
- 审查化学蛋白质组学和人工智能的应用,以确定天然产品的癌症相关目标.
- 突出目前的挑战和未来的方向,以临床翻译的NP基础的癌症疗法.
主要方法:
- 使用化学蛋白质组学,包括基于标签和无标签的技术,以确定NP-蛋白相互作用.
- 利用人工智能 (AI) 和机器学习算法来增强目标预测和数据分析.
主要成果:
- 化学蛋白质学可以识别NP的分子点,有助于理解抗癌机制.
- 人工智能显著改善了NP-蛋白相互作用的预测和分析,加速了目标发现.
结论:
- 化学蛋白质组学和人工智能的整合是识别天然产品癌症相关目标的强大策略.
- 需要进一步的进展来克服挑战,并促进这些发现的临床转化.
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