| 注册
首页|期刊导航|山西大学学报(自然科学版)|基于网络邻近度的活性物质筛选:原理与应用

基于网络邻近度的活性物质筛选:原理与应用

刘梦晨 范庆 周鹤峰 阳小燕 汪泽 尹田鹏 何希瑞 崔国祯

山西大学学报(自然科学版)2025,Vol.48Issue(2):314-321,8.
山西大学学报(自然科学版)2025,Vol.48Issue(2):314-321,8.DOI:10.13451/j.sxu.ns.2024173

基于网络邻近度的活性物质筛选:原理与应用

Screening of Active Ingredients Based on Network Proximity:Principle and Application

刘梦晨 1范庆 2周鹤峰 1阳小燕 1汪泽 1尹田鹏 1何希瑞 1崔国祯1

作者信息

  • 1. 遵义医科大学珠海校区生物工程学院,广东 珠海 519041
  • 2. 遵义医科大学珠海校区 基础教学部,广东 珠海 519041
  • 折叠

摘要

Abstract

Screening active ingredients is critical for disease prevention and treatment.However,traditional screening methods face challenges in addressing complex diseases.With the advent of network medicine,virtual screening based on protein interaction net-works has emerged as a promising approach for discovering bioactive ingredients.Within this framework,the network proximity ap-proach quantifies the relationships between disease-related genes and the molecular targets of candidate compounds,enabling sys-tematic and efficient drug screening.This study introduces ZMUpredict,a platform that applies network proximity principles that in-tegrates disease genes and drug targets to predict an ingredient's potential efficacy.By submitting ingredient targets and disease gene sets,users can obtain results that quantify the network distance between drug targets and disease genes,expressed as Z-scores and P-values,providing valuable insights into therapeutic potential.In addition to analyzing individual ingredient,the platform supports combination drug assessments and subnetwork extraction.By employing the screening of active ingredients in Camellia oil as a case study,this paper demonstrates the platform's applications in natural products and traditional Chinese medicine research.ZMUpredict provides a user-friendly virtual screening tool that harnesses the power of network medicine,enabling efficient ingredient screening without requiring programming expertise,and supporting drug discovery for complex diseases.

关键词

网络医学/网络邻近度/活性物质筛选/老药新用/中药

Key words

network medicine/network proximity/active ingredient screening/drug repurposing/traditional Chinese medicine

分类

医药卫生

引用本文复制引用

刘梦晨,范庆,周鹤峰,阳小燕,汪泽,尹田鹏,何希瑞,崔国祯..基于网络邻近度的活性物质筛选:原理与应用[J].山西大学学报(自然科学版),2025,48(2):314-321,8.

基金项目

贵州省科技计划项目(黔科合支撑[2023]一般071) (黔科合支撑[2023]一般071)

广东省普通高校创新团队项目(2024KCXTD005) (2024KCXTD005)

山西大学学报(自然科学版)

OA北大核心

0253-2395

访问量0
|
下载量0
段落导航相关论文