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Published on: May 16, 2021
Network-based approaches in drug discovery and early development
J M Harrold1, M Ramanathan, D E Mager
1Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
Abstract:
Identification of novel targets is a critical first step in the drug discovery and development process. Most diseases such as cancer, metabolic disorders, and neurological disorders are complex, and their pathogenesis involves multiple genetic and environmental factors. Finding a viable drug target-drug combination with high potential for yielding clinical success within the efficacy-toxicity spectrum is extremely challenging. Many examples are now available in which network-based approaches show potential for the identification of novel targets and for the repositioning of established targets. The objective of this article is to highlight network approaches for identifying novel targets with greater chances of gaining approved drugs with maximal efficacy and minimal side effects. Further enhancement of these approaches may emerge from effectively integrating computational systems biology with pharmacodynamic systems analysis. Coupling genomics, proteomics, and metabolomics databases with systems pharmacology modeling may aid in the development of disease-specific networks that can be further used to build confidence in target identification.
Insights
Network-based approaches are crucial for identifying novel drug targets in complex diseases. Integrating systems biology and pharmacology enhances target identification for effective and safe drug development.
Area of Science:
- Drug discovery and development
- Systems biology
- Pharmacology
Background:
- Complex diseases involve multiple genetic and environmental factors.
- Identifying viable drug targets is challenging within the efficacy-toxicity spectrum.
- Network-based approaches show promise for novel and repositioned drug targets.
Purpose of the Study:
- To highlight network approaches for novel drug target identification.
- To improve chances of drug approval with maximal efficacy and minimal side effects.
- To explore integration of computational systems biology and pharmacodynamic systems analysis.
Main Methods:
- Utilizing network-based approaches for target identification.
- Integrating computational systems biology with pharmacodynamic systems analysis.
- Coupling multi-omics data (genomics, proteomics, metabolomics) with systems pharmacology modeling.
Main Results:
- Network approaches facilitate identification of novel drug targets.
- Enhanced integration can lead to improved drug efficacy and safety profiles.
- Disease-specific networks aid in building confidence for target identification.
Conclusions:
- Network approaches are vital for efficient drug discovery.
- Integrating multi-omics and systems pharmacology advances target identification.
- This strategy promises more effective and safer therapeutics for complex diseases.
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