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近年来,从传统中药中寻找活性成分成为研发新药的有效途径,而对中药分子作用机制的研究将显著提高筛选的准确性。本文在前期的研究基础上实现了中药成分的靶标预测、根据预测靶标构建成分-靶标网络、利用网络特征实现分子网络的筛选和分析等核心分析方法,设计了一种高效、易用的中药分子作用网络自动化分析系统。用户可以通过web的方式方便的获取中药成分数据,并利用本系统对所需的中药数据进行靶标预测和分子网络研究与分析。
In recent years, the search for active ingredients from traditional Chinese medicine has become an effective way to develop new drugs. However, the research on molecular mechanism of traditional Chinese medicine will significantly improve the screening accuracy. Based on the previous research, this paper realizes the target prediction of traditional Chinese medicine components. Based on the core analysis methods such as predicting the target to construct the component-target network and utilizing the network characteristics to screen and analyze the molecular network, an efficient and easy-to-use Chinese medicine molecule The role of network automation analysis system. The user can easily access the traditional Chinese medicine composition data through the web and use the system to conduct the target prediction and molecular network research and analysis on the required traditional Chinese medicine data.