title: System analysis of LWDH related genes based on text mining in biological networks.
abstract: 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.
authors.affiliation: College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
authors.forename: Mingzhi
authors.identifier: 0000-0002-5216-5742
authors.initials: M
authors.lastname: Liao
authors.affiliation: College of Pharmacy, Nankai University, Tianjin 300071, China.
authors.forename: Yingbo
authors.initials: Y
authors.lastname: Miao
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Department of Statistics, Rice University, 6100 Main Street, Houston, TX 77005, USA.
authors.forename: Liangcai
authors.initials: L
authors.lastname: Zhang
authors.affiliation: College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081, China.
authors.forename: Rennan
authors.initials: R
authors.lastname: Feng
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Yang
authors.affiliation: College of Life Science, Anhui Agricultural University, Hefei 230036, China.
authors.forename: Shihua
authors.initials: S
authors.lastname: Zhang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Yongshuai
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Genome Analysis Laboratory, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
authors.forename: Guiyou
authors.initials: G
authors.lastname: Liu
mesh_terms: D057225:Data Mining; D030541:Databases, Genetic; D004365:Drugs, Chinese Herbal / Q000494:pharmacology*; D063990:Gene Ontology; D060066:Protein Interaction Maps / Q000187:drug effects / Q000235:genetics*
chemical_list: D004365:Drugs, Chinese Herbal; C042579:Liuwei Dihuang Decoction