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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Drug discovery and development: lessons from an undeveloped drug
1Rosa & Co. LLC, 751 Laurel Street, Suite 127, San Carlos, CA 94070, USA. tg@tgordi.com
Expert Review of Clinical Pharmacology
|March 7, 2012
Summary
Modern drug discovery may miss life-saving medicines like artemisinin by using strict deselection criteria. Systems pharmacology and predictive models offer a better approach for identifying successful drug candidates.
Area of Science:
- Pharmacology and Pharmaceutical Sciences
- Drug Discovery and Development
Background:
- Current pharmaceutical industry practices for drug discovery and preclinical development are examined.
- The antimalarial drug artemisinin serves as a case study for a potentially overlooked therapeutic agent.
- Artemisinin is a safe and effective treatment for a life-threatening disease, despite its characteristics making it unlikely for modern development.
Purpose of the Study:
- To critique the efficacy of prespecified charts and undesired property lists in molecule deselection.
- To propose advanced modeling techniques for improved drug candidate selection.
- To enhance the probability of successful drug development and market entry for best-in-class medications.
Main Methods:
- Discussion of current drug discovery and preclinical development paradigms.
- Analysis of the artemisinin case study.
- Proposal for the implementation of systems pharmacology, disease progression, and pharmacokinetic/pharmacodynamic (PK/PD) models.
Main Results:
- Prespecified deselection criteria may lead to the exclusion of valuable drug candidates.
- Systems pharmacology and PK/PD models provide a more robust framework for evaluating drug potential.
- These models offer a superior approach to identifying candidates with a higher likelihood of market success.
Conclusions:
- Rethinking rigid deselection strategies is crucial for uncovering innovative therapies.
- Adoption of systems pharmacology and integrated modeling approaches can optimize drug candidate selection.
- This strategic shift promises to increase the successful development of vital medications for patients.
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