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

机译:基于文本挖掘在生物网络中的LWDH相关基因的系统分析

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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:刘伟·达华(LWDH)广泛用于中药(TCM),但其关于基因相互作用的分子机制尚不清楚。基于文本挖掘技术从现有文献中提取LWDH基因。为了模拟整体中发生的复杂分子相互作用,构建蛋白质 - 蛋白质相互作用网络(PPP),分析了LWDH基因的拓扑性质。 LWDH基因具有较高的中心特性,并且可能在复杂的生物网络环境中发挥重要作用。还发现LWDH基因内的距离小于预期,这意味着LWDH基因在生物过程中的通信是快速的,有效的。最后,构建并分析了在转录和后术水平的综合性LWDH基因网络,包括相关药物和调节途径。本研究中使用的生物网络分析策略可能有助于了解中医的分子机制。

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