Network-based drug discovery by integrating systems biology and computational technologies
Network-based intervention has been a trend of curing systemic diseases, but it relies on regimen optimization and valid multi-target actions of the drugs. The complex multi-component nature of medicinal herbs may serve as valuable resources for network-based multi-target drug discovery due to its p...
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| Format: | Online |
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Oxford University Press
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713711/ |
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pubmed-37137112013-07-17 Network-based drug discovery by integrating systems biology and computational technologies Leung, Elaine L. Cao, Zhi-Wei Jiang, Zhi-Hong Zhou, Hua Liu, Liang Papers Network-based intervention has been a trend of curing systemic diseases, but it relies on regimen optimization and valid multi-target actions of the drugs. The complex multi-component nature of medicinal herbs may serve as valuable resources for network-based multi-target drug discovery due to its potential treatment effects by synergy. Recently, robustness of multiple systems biology platforms shows powerful to uncover molecular mechanisms and connections between the drugs and their targeting dynamic network. However, optimization methods of drug combination are insufficient, owning to lacking of tighter integration across multiple ‘-omics’ databases. The newly developed algorithm- or network-based computational models can tightly integrate ‘-omics’ databases and optimize combinational regimens of drug development, which encourage using medicinal herbs to develop into new wave of network-based multi-target drugs. However, challenges on further integration across the databases of medicinal herbs with multiple system biology platforms for multi-target drug optimization remain to the uncertain reliability of individual data sets, width and depth and degree of standardization of herbal medicine. Standardization of the methodology and terminology of multiple system biology and herbal database would facilitate the integration. Enhance public accessible databases and the number of research using system biology platform on herbal medicine would be helpful. Further integration across various ‘-omics’ platforms and computational tools would accelerate development of network-based drug discovery and network medicine. Oxford University Press 2013-07 2012-08-09 /pmc/articles/PMC3713711/ /pubmed/22877768 http://dx.doi.org/10.1093/bib/bbs043 Text en © The Author 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Leung, Elaine L. Cao, Zhi-Wei Jiang, Zhi-Hong Zhou, Hua Liu, Liang |
| spellingShingle |
Leung, Elaine L. Cao, Zhi-Wei Jiang, Zhi-Hong Zhou, Hua Liu, Liang Network-based drug discovery by integrating systems biology and computational technologies |
| author_facet |
Leung, Elaine L. Cao, Zhi-Wei Jiang, Zhi-Hong Zhou, Hua Liu, Liang |
| author_sort |
Leung, Elaine L. |
| title |
Network-based drug discovery by integrating systems biology and computational technologies |
| title_short |
Network-based drug discovery by integrating systems biology and computational technologies |
| title_full |
Network-based drug discovery by integrating systems biology and computational technologies |
| title_fullStr |
Network-based drug discovery by integrating systems biology and computational technologies |
| title_full_unstemmed |
Network-based drug discovery by integrating systems biology and computational technologies |
| title_sort |
network-based drug discovery by integrating systems biology and computational technologies |
| description |
Network-based intervention has been a trend of curing systemic diseases, but it relies on regimen optimization and valid multi-target actions of the drugs. The complex multi-component nature of medicinal herbs may serve as valuable resources for network-based multi-target drug discovery due to its potential treatment effects by synergy. Recently, robustness of multiple systems biology platforms shows powerful to uncover molecular mechanisms and connections between the drugs and their targeting dynamic network. However, optimization methods of drug combination are insufficient, owning to lacking of tighter integration across multiple ‘-omics’ databases. The newly developed algorithm- or network-based computational models can tightly integrate ‘-omics’ databases and optimize combinational regimens of drug development, which encourage using medicinal herbs to develop into new wave of network-based multi-target drugs. However, challenges on further integration across the databases of medicinal herbs with multiple system biology platforms for multi-target drug optimization remain to the uncertain reliability of individual data sets, width and depth and degree of standardization of herbal medicine. Standardization of the methodology and terminology of multiple system biology and herbal database would facilitate the integration. Enhance public accessible databases and the number of research using system biology platform on herbal medicine would be helpful. Further integration across various ‘-omics’ platforms and computational tools would accelerate development of network-based drug discovery and network medicine. |
| publisher |
Oxford University Press |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713711/ |
| _version_ |
1611995491818536960 |