Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian

Due to the proved clinical efficacy, Shuang-Huang-Lian (SHL) has developed a variety of dosage forms. However, the in-depth research on targets and pharmacological mechanisms of SHL preparations was scarce. In the presented study, the bioinformatics approaches were adopted to integrate relevant data...

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Main Authors: Bai-xia Zhang, Jian Li, Hao Gu, Qiang Li, Qi Zhang, Tian-jiao Zhang, Yun Wang, Cheng-ke Cai
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/291680
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author Bai-xia Zhang
Jian Li
Hao Gu
Qiang Li
Qi Zhang
Tian-jiao Zhang
Yun Wang
Cheng-ke Cai
author_facet Bai-xia Zhang
Jian Li
Hao Gu
Qiang Li
Qi Zhang
Tian-jiao Zhang
Yun Wang
Cheng-ke Cai
author_sort Bai-xia Zhang
collection DOAJ
description Due to the proved clinical efficacy, Shuang-Huang-Lian (SHL) has developed a variety of dosage forms. However, the in-depth research on targets and pharmacological mechanisms of SHL preparations was scarce. In the presented study, the bioinformatics approaches were adopted to integrate relevant data and biological information. As a result, a PPI network was built and the common topological parameters were characterized. The results suggested that the PPI network of SHL exhibited a scale-free property and modular architecture. The drug target network of SHL was structured with 21 functional modules. According to certain modules and pharmacological effects distribution, an antitumor effect and potential drug targets were predicted. A biological network which contained 26 subnetworks was constructed to elucidate the antipneumonia mechanism of SHL. We also extracted the subnetwork to explicitly display the pathway where one effective component acts on the pneumonia related targets. In conclusions, a bioinformatics approach was established for exploring the drug targets, pharmacological activity distribution, effective components of SHL, and its mechanism of antipneumonia. Above all, we identified the effective components and disclosed the mechanism of SHL from the view of system.
format Article
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institution Kabale University
issn 2356-6140
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language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-8930a007f4dc4d77a6c4ab545ce672e92025-02-03T01:22:15ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/291680291680Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-LianBai-xia Zhang0Jian Li1Hao Gu2Qiang Li3Qi Zhang4Tian-jiao Zhang5Yun Wang6Cheng-ke Cai7School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, ChinaSchool of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing 100029, ChinaInstitute of Basic Research of Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, ChinaSchool of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing 100029, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, ChinaDue to the proved clinical efficacy, Shuang-Huang-Lian (SHL) has developed a variety of dosage forms. However, the in-depth research on targets and pharmacological mechanisms of SHL preparations was scarce. In the presented study, the bioinformatics approaches were adopted to integrate relevant data and biological information. As a result, a PPI network was built and the common topological parameters were characterized. The results suggested that the PPI network of SHL exhibited a scale-free property and modular architecture. The drug target network of SHL was structured with 21 functional modules. According to certain modules and pharmacological effects distribution, an antitumor effect and potential drug targets were predicted. A biological network which contained 26 subnetworks was constructed to elucidate the antipneumonia mechanism of SHL. We also extracted the subnetwork to explicitly display the pathway where one effective component acts on the pneumonia related targets. In conclusions, a bioinformatics approach was established for exploring the drug targets, pharmacological activity distribution, effective components of SHL, and its mechanism of antipneumonia. Above all, we identified the effective components and disclosed the mechanism of SHL from the view of system.http://dx.doi.org/10.1155/2015/291680
spellingShingle Bai-xia Zhang
Jian Li
Hao Gu
Qiang Li
Qi Zhang
Tian-jiao Zhang
Yun Wang
Cheng-ke Cai
Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
The Scientific World Journal
title Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
title_full Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
title_fullStr Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
title_full_unstemmed Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
title_short Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian
title_sort using bioinformatics approach to explore the pharmacological mechanisms of multiple ingredients in shuang huang lian
url http://dx.doi.org/10.1155/2015/291680
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