[基于网络稳定性和数据挖掘的阳核心处方的选和评估]
Yu Li1, Feng-Rong Zhang1, Huan-Huan Wang1
1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
概括
这项研究通过分析古代文本和医生病例,确定了中国传统医学 (TCM) 对阳的核心处方. 处方组合1显示出新药开发的最大潜力.
科学领域:
- 综合医学是一个整体医学.
- 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:
- 阳在全球范围内仍然是一个重大的健康问题.
- 传统中国医学 (TCM) 具有丰富的历史,用复杂的草药配方治疗阳.
- 识别有效和验证的TCM处方对于现代治疗发展至关重要.
研究的目的:
- 系统地分析古老的中医药处方和著名的治疗阳的医生病例.
- 识别和评估具有高治疗潜力的核心TCM处方.
- 为查和开发用于治疗阳的基于TCM的新药提供计算框架.
主要方法:
- 建立古代处方和治疗阳的医生病例的数据库.
- 应用TCM遗传计算平台用于药物模式分析.
- 网络稳定性分析,以评估核心处方的干扰得分.
- 综合历史数据和计算结果的综合评估.
主要成果:
- 对于阳的TCM治疗主要集中在调缺乏和促进血液循环,利用温和的,甜味的草药准脏,肝脏,脏和肺 meridians.
- 聚类分析确定了核心处方,其中"古老的经过验证的处方组合1"显示出对疾病网络的影响最为显著.
- 网络稳定性分析证实"处方组合1"具有最佳的发展潜力.
结论:
- 中国传统医学 (TCM) 通过调节脏,肝脏,脏和肺部功能来有效地治疗阳,强调与清热和激活血液疗法一起调节缺陷.
- "古老的经过验证的处方组合1"显示出开发基于TCM的新型阳治疗方法的巨大潜力.
- 结合历史数据,临床病例和计算分析的综合策略对于选候选TCM新药处方的有效.
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