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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
Network-based drug discovery by integrating systems biology and computational technologies
Elaine L Leung1, Zhi-Wei Cao, Zhi-Hong Jiang
1State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China.
Briefings in Bioinformatics
|August 11, 2012
Summary
Medicinal herbs offer potential for network-based drug discovery targeting multiple diseases. Integrating multi-omics data with systems biology platforms can optimize herbal drug combinations for enhanced efficacy.
Area of Science:
- Pharmacology and Systems Biology
- Computational Drug Discovery
- Herbal Medicine Research
Background:
- Network-based interventions are crucial for systemic diseases, requiring optimized drug regimens and multi-target actions.
- Medicinal herbs, with their complex multi-component nature, present a promising resource for synergistic, multi-target drug discovery.
- Current drug combination optimization methods lack integration across diverse '-omics' databases.
Purpose of the Study:
- To explore the potential of medicinal herbs in network-based multi-target drug discovery.
- To highlight the role of systems biology platforms in uncovering drug-disease network mechanisms.
- To address challenges in integrating herbal medicine data with systems biology for optimized drug development.
Main Methods:
- Utilizing algorithm- and network-based computational models to integrate '-omics' databases.
- Leveraging systems biology platforms to analyze molecular mechanisms and drug-target networks.
- Reviewing existing challenges and proposing solutions for data integration and standardization.
Main Results:
- Newly developed computational models can integrate '-omics' data to optimize drug development regimens.
- Medicinal herbs can be developed into a new generation of network-based multi-target drugs.
- Challenges include data reliability, standardization, and integration across diverse databases.
Conclusions:
- Standardizing methodology and terminology in systems biology and herbal databases is essential for integration.
- Enhancing public databases and research utilizing systems biology platforms for herbal medicine is recommended.
- Further integration of '-omics' platforms and computational tools will accelerate network-based drug discovery and network medicine development.
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