Using quantitative systems pharmacology for novel drug discovery
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Expert Opinion on Drug Discovery
|September 3, 2015
Summary
Quantitative and Systems Pharmacology (QSP) shifts drug discovery from single targets to biological networks. This approach aids in predicting drug effects and reducing side effects by considering systems-level interactions.
Area of Science:
- Pharmacology
- Systems Biology
- Drug Discovery
Background:
- Traditional drug discovery focused on selective ligands for single targets.
- Recent shifts emphasize understanding drugs within complex biological networks.
- Quantitative and Systems Pharmacology (QSP) emerges as a new paradigm.
Purpose of the Study:
- To review computational and experimental QSP approaches.
- To explore integrating systems biology with polypharmacology.
- To discuss tools for designing more efficacious drugs with fewer side effects.
Main Methods:
- Review of existing QSP methodologies.
- Integration of polypharmacology with systems biology.
- Application of systems-level thinking to drug design.
Main Results:
- Network biology yields insights into drug indications, interactions, and side effects.
- QSP models can predict drug targets and their roles in pathophysiology.
- Current QSP models face challenges in precision and accuracy.
Conclusions:
- Shifting to a systems-based approach in drug discovery is crucial.
- Network biology provides valuable data for drug development.
- Further advancements in modeling and tools are needed for precise QSP.
Keywords:
adverse polypharmacologycomplex cellular networkdrug actionpathophysiologypersonalized medicinepharmacokinetics/pharmacodynamicsquantitative and systems pharmacologyside effectssystems biologysystems pharmacologytherapeutic polypharmacologyvirtual screeningMore Related Videos
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