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

Joint Authors

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

Source

BioMed Research International

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-27

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Liao, Mingzhi& Miao, Yingbo& Zhang, Liangcai& Wang, Yang& Feng, Rennan& Yang, Lei…[et al.]. 2014. System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1016315

Modern Language Association (MLA)

Liao, Mingzhi…[et al.]. System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1016315

American Medical Association (AMA)

Liao, Mingzhi& Miao, Yingbo& Zhang, Liangcai& Wang, Yang& Feng, Rennan& Yang, Lei…[et al.]. System Analysis of LWDH Related Genes Based on Text Mining in Biological Networks. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1016315

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1016315