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: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/291680 |
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Summary: | 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. |
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ISSN: | 2356-6140 1537-744X |