基于药物转录组学的高通量药物查方面的进展
Liansheng Qiao1, Xiaoqian Huo2, Wenting Huang3
1Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
Journal of advanced research
|September 13, 2025
概括
基于药物转录组学的药物查 (PTDS) 通过分析基因表达变化来推动药物发现. 将PTDS与人工智能结合起来,将彻底改变高通量查和药物开发,特别是对于TCM等复杂药物.
科学领域:
- 药物基因组学和计算生物学
- 药物发现和开发 药物发现和开发
- 系统生物学 系统生物学
背景情况:
- 药物查是新药发现的核心,演变为基于药物转录学的药物查 (PTDS).
- 通过分析大规模的基因表达变化,PTDS与传统方法不同.
- 这个领域面临着高通量分析和复杂数据的计算分析方面的挑战.
研究的目的:
- 审查PTDS的演变和进步,重点关注分析和人工智能驱动的数据挖掘.
- 将PTDS与传统查模式进行比较,并确定其应用.
- 提供有关PTDS技术开发和实施的见解.
主要方法:
- 对PTDS技术的系统审查,包括微阵列,向转录组学和RNA-seq.
- 分析人工智能驱动的数据挖掘方法:排名,无监督和监督学习算法.
- 在基于途径的查,药物组合设计和传统中医 (TCM) 分析中探索PTDS应用.
主要成果:
- 通过PTDS,可以大规模检测药物诱导的基因表达变化,并分析疗效.
- 人工智能集成增强PTDS用于分析基因组,途径和复杂疾病.
- PTDS适用于复杂的药物疗效评估,特别是TCM.
结论:
- PTDS代表了高通量药物查的重大进步.
- PTDS与AI的整合有望改变药物发现和开发.
- PTDS为制药行业的技术发展和有效实施提供了新的视角.
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