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High Content Screening in Neurodegenerative Diseases
Published on: January 6, 2012
A network view of disease and compound screening
Eric E Schadt1, Stephen H Friend, David A Shaywitz
1Eric E. Schadt is at Rosetta Inpharmatics, LLC, Merck & Co., Inc., 401 Terry Avenue North, Seattle, Washington 98109, USA. eric.schadt@gmail.com
Nature Reviews. Drug Discovery
|April 2, 2009
Summary
Network-based drug discovery uses large-scale biological data to build molecular networks. This approach helps understand disease and develop better therapies by analyzing drug impacts on these complex systems.
Area of Science:
- Systems biology
- Pharmacology
- Bioinformatics
Background:
- Large-scale generation of multi-omics data (genomic, proteomic, metabolomic, signalling) enables complex molecular network construction.
- These networks offer a novel framework for understanding physiological and pathophysiological states at a molecular level.
Approach:
- Network-based drug discovery leverages integrated biological data to model molecular interactions.
- This approach investigates the impact of therapeutic interventions, like candidate drugs, on disease-specific molecular networks.
Key Points:
- Enables a deeper understanding of biological systems and disease mechanisms.
- Facilitates the characterization of diseases by mapping their underlying molecular networks.
- Provides a new paradigm for identifying and developing targeted therapies.
Conclusions:
- Network-based approaches offer a powerful strategy for advancing drug discovery and development.
- Harnessing multi-omics data and network analysis is crucial for realizing improved therapeutic outcomes.
- Addressing current challenges in data integration and network modeling is key to the future success of this field.
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