养阴生津型中药研究相关化合物特性数据
收藏资源简介:
本数据集收录了生地黄与麦冬两种中药材的化学成分信息。数据涵盖黄酮、甾体、苯丙素等多种结构类型,主要用于中药活性筛选、ADMET性质预测及化合物数据库构建等研究。为相关领域的研究和应用提供了重要的基础数据,为中药药效物质发现、质量标志物辨识及后续药物开发提供了关键数据支撑。
This dataset collects chemical constituent information of two traditional Chinese medicines (TCMs), Shengdihuang (Rehmannia glutinosa) and Maidong (Ophiopogon japonicus). The data covers multiple structural classes including flavonoids, steroids, phenylpropanoids, and others, and is primarily applied to research such as TCM activity screening, ADMET property prediction, and compound database construction. It provides important foundational data for research and practical applications in relevant fields, and offers critical data support for the discovery of TCM efficacy substances, identification of quality markers, and subsequent drug development.




