相关实验视频

Updated: May 22, 2025

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression
07:58

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression

Published on: February 24, 2023

438

发现草药疗法和主要抑郁障碍的关键成分,通过在多级网络上的偏差随机步行分析

Jun-Ho Lee1, Sungyoul Choi2, Do-Eun Lee3

  • 1Department of Oriental Pharmacy, College of Pharmacy, Wonkwang University, Iksan 54538, Republic of Korea.

International journal of molecular sciences
|March 13, 2025
PubMed
概括

这项研究使用网络分析来识别针对主要抑郁症 (MDD) 多路径的草药和化合物. 研究结果表明,协同作用的多目标草药疗法可以为这种复杂的疾病提供新的治疗方法.

关键词:
活性成分是活性成分的组成部分.草药是一种草药.大型抑郁症主要是抑郁症.多层次网络网络的多层次网络.

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