Display options
Cite
Liao M, Miao Y, Zhang L, et al. System analysis of LWDH related genes based on text mining in biological networks. Biomed Res Int. 2014;2014:484926doi: 10.1155/2014/484926.
Liao, M., Miao, Y., Zhang, L., Wang, Y., Feng, R., Yang, L., Zhang, S., Jiang, Y., & Liu, G. (2014). System analysis of LWDH related genes based on text mining in biological networks. BioMed research international, 2014484926. https://doi.org/10.1155/2014/484926
Liao, Mingzhi, et al. "System analysis of LWDH related genes based on text mining in biological networks." BioMed research international vol. 2014 (2014): 484926. doi: https://doi.org/10.1155/2014/484926
Liao M, Miao Y, Zhang L, Wang Y, Feng R, Yang L, Zhang S, Jiang Y, Liu G. System analysis of LWDH related genes based on text mining in biological networks. Biomed Res Int. 2014;2014:484926. doi: 10.1155/2014/484926. Epub 2014 Aug 27. PMID: 25243143; PMCID: PMC4163428.
Copy Download .nbib Format: NLM
Share it on

Biomed Res Int. 2014;2014:484926. doi: 10.1155/2014/484926. Epub 2014 Aug 27.

System analysis of LWDH related genes based on text mining in biological networks.

BioMed research international

Mingzhi Liao, Yingbo Miao, Liangcai Zhang, Yang Wang, Rennan Feng, Lei Yang, Shihua Zhang, Yongshuai Jiang, Guiyou Liu

Affiliations

  1. College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
  2. College of Pharmacy, Nankai University, Tianjin 300071, China.
  3. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Department of Statistics, Rice University, 6100 Main Street, Houston, TX 77005, USA.
  4. 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.
  5. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  6. College of Life Science, Anhui Agricultural University, Hefei 230036, China.
  7. 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.

PMID: 25243143 PMCID: PMC4163428 DOI: 10.1155/2014/484926

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.

References

  1. Nature. 2007 Apr 5;446(7136):590-1 - PubMed
  2. Bioinformatics. 2008 Jan 15;24(2):282-4 - PubMed
  3. Nature. 1998 Jun 4;393(6684):440-2 - PubMed
  4. Nucleic Acids Res. 2012 Jan;40(Database issue):D222-9 - PubMed
  5. J Comput Aided Mol Des. 2011 Jun;25(6):525-31 - PubMed
  6. Nat Chem Biol. 2008 Nov;4(11):682-90 - PubMed
  7. Nucleic Acids Res. 2005 Jan 1;33(Database issue):D514-7 - PubMed
  8. BMC Bioinformatics. 2010 Dec 14;11 Suppl 11:S6 - PubMed
  9. Nat Rev Drug Discov. 2005 Jan;4(1):71-8 - PubMed
  10. J Ethnopharmacol. 2014;151(1):66-77 - PubMed
  11. PLoS One. 2011 Jan 06;6(1):e15939 - PubMed
  12. Nat Methods. 2012 Nov;9(11):1069-76 - PubMed
  13. Nucleic Acids Res. 2011 Jan;39(Database issue):D1035-41 - PubMed
  14. BMC Complement Altern Med. 2008 Oct 14;8:58 - PubMed
  15. J Biomol Struct Dyn. 2011 Aug;29(1):243-50 - PubMed
  16. Phytomedicine. 2014 Apr 15;21(5):724-33 - PubMed
  17. Nucleic Acids Res. 2006 Jan 1;34(Database issue):D108-10 - PubMed
  18. Nucleic Acids Res. 2013 Jan;41(Database issue):D816-23 - PubMed
  19. Nucleic Acids Res. 2009 Jan;37(Database issue):D767-72 - PubMed
  20. J Drug Target. 2011 Jun;19(5):354-64 - PubMed
  21. BMC Syst Biol. 2011 Jun 20;5 Suppl 1:S10 - PubMed
  22. Am J Chin Med. 2008;36(4):771-81 - PubMed
  23. J Biomol Struct Dyn. 2014;32(1):1-12 - PubMed
  24. Sci Rep. 2014 Jan 16;4:3719 - PubMed
  25. J Drug Target. 2009 Aug;17(7):524-32 - PubMed
  26. Mol Biosyst. 2014 May;10(5):1014-22 - PubMed
  27. Curr Pharm Biotechnol. 2012 Sep;13(11):2153-65 - PubMed
  28. Evid Based Complement Alternat Med. 2014;2014:928589 - PubMed
  29. IET Syst Biol. 2007 Jan;1(1):51-60 - PubMed
  30. Nat Biotechnol. 2007 Oct;25(10):1119-26 - PubMed
  31. Nat Biotechnol. 2007 Oct;25(10):1110-1 - PubMed
  32. PLoS One. 2010 Jul 26;5(7):e11764 - PubMed
  33. J Theor Biol. 2014 May 21;349:82-91 - PubMed
  34. J Ethnopharmacol. 2013 Jul 30;148(3):770-9 - PubMed
  35. Bioinformatics. 2002 Aug;18(8):1124-32 - PubMed
  36. J Ethnopharmacol. 2013 Jan 9;145(1):1-10 - PubMed

Substances

MeSH terms

Publication Types