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System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163428/ https://www.ncbi.nlm.nih.gov/pubmed/25243143 http://dx.doi.org/10.1155/2014/484926 |
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author | Liao, Mingzhi Miao, Yingbo Zhang, Liangcai Wang, Yang Feng, Rennan Yang, Lei Zhang, Shihua Jiang, Yongshuai Liu, Guiyou |
author_facet | Liao, Mingzhi Miao, Yingbo Zhang, Liangcai Wang, Yang Feng, Rennan Yang, Lei Zhang, Shihua Jiang, Yongshuai Liu, Guiyou |
author_sort | Liao, Mingzhi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4163428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41634282014-09-21 System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks Liao, Mingzhi Miao, Yingbo Zhang, Liangcai Wang, Yang Feng, Rennan Yang, Lei Zhang, Shihua Jiang, Yongshuai Liu, Guiyou Biomed Res Int Research Article 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. Hindawi Publishing Corporation 2014 2014-08-27 /pmc/articles/PMC4163428/ /pubmed/25243143 http://dx.doi.org/10.1155/2014/484926 Text en Copyright © 2014 Mingzhi Liao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liao, Mingzhi Miao, Yingbo Zhang, Liangcai Wang, Yang Feng, Rennan Yang, Lei Zhang, Shihua Jiang, Yongshuai Liu, Guiyou System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title | System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title_full | System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title_fullStr | System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title_full_unstemmed | System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title_short | System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks |
title_sort | system analysis of lwdh related genes based on text mining in biological networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163428/ https://www.ncbi.nlm.nih.gov/pubmed/25243143 http://dx.doi.org/10.1155/2014/484926 |
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