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System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks

机译:生物网络中基于文本挖掘的LWDH相关基因系统分析

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摘要

Liuwei-dihuang (LWDH) is widely used in traditional Chinese medicine (TCM), but its molecular mechanism about gene interactions is unclear. LWDH genes were extracted from the existing literatures based on text mining technology. To simulate the complex molecular interactions that occur in the whole body, protein-protein interaction networks (PPINs) were constructed and the topological properties of LWDH genes were analyzed. LWDH genes have higher centrality properties and may play important roles in the complex biological network environment. It was also found that the distances within LWDH genes are smaller than expected, which means that the communication of LWDH genes during the biological process is rapid and effectual. At last, a comprehensive network of LWDH genes, including the related drugs and regulatory pathways at both the transcriptional and posttranscriptional levels, was constructed and analyzed. The biological network analysis strategy used in this study may be helpful for the understanding of molecular mechanism of TCM.
机译:六味地黄(LWDH)在中药(TCM)中被广泛使用,但其与基因相互作用的分子机制尚不清楚。 LWDH基因是基于文本挖掘技术从现有文献中提取的。为了模拟在全身发生的复杂分子相互作用,构建了蛋白质-蛋白质相互作用网络(PPIN),并分析了LWDH基因的拓扑特性。 LWDH基因具有较高的中心性,并可能在复杂的生物网络环境中发挥重要作用。还发现LWDH基因内的距离比预期的要小,这意味着LWDH基因在生物过程中的通讯是快速而有效的。最后,构建并分析了LWDH基因的全面网络,包括转录水平和转录后水平的相关药物和调控途径。本研究中使用的生物网络分析策略可能有助于理解中药的分子机制。

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