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Published on: December 11, 2016
Macrocycles in Drug Discovery─Learning from the Past for the Future
Diego Garcia Jimenez1,2, Vasanthanathan Poongavanam1, Jan Kihlberg1
1Department of Chemistry-BMC, Uppsala University, Box 576, SE-751 23 Uppsala, Sweden.
Macrocycles are vital in drug discovery, especially for oncology and infectious diseases. Natural products inspire new designs, with simple models predicting oral bioavailability for these complex molecules.
Area of Science:
- Medicinal Chemistry
- Drug Discovery
- Chemical Biology
Background:
- Macrocyclic drugs are predominantly utilized in oncology and infectious diseases.
- Natural products are a rich source, contributing 80-90% of macrocyclic drugs and clinical candidates.
- Many macrocycles target challenging binding sites, often existing beyond traditional 'Rule of 5' parameters.
Purpose of the Study:
- To analyze FDA-approved macrocyclic drugs, clinical candidates, and literature to understand their role in drug discovery.
- To identify key characteristics and trends in macrocycle utilization.
- To explore predictive models for oral bioavailability of macrocyclic compounds.
Main Methods:
- Analysis of FDA-approved macrocyclic drugs and clinical candidates.
- Literature review of recent macrocycle research.
- Evaluation of chemical properties and target binding sites.
- Development and application of bi-descriptor models (HBD, MW, cLogP) to predict oral bioavailability.
Main Results:
- Oncology is the primary focus for macrocyclic clinical candidates and research literature.
- Natural products significantly influence the structural complexity and origin of macrocyclic drugs.
- Despite often exceeding 'Rule of 5' properties, 30-40% of macrocycles demonstrate oral bioavailability.
- Simple models effectively differentiate oral from parenteral macrocycles, serving as useful design filters.
Conclusions:
- Macrocycles remain crucial in drug discovery, particularly for complex targets and indications like oncology.
- Leveraging natural product scaffolds and advanced conformational analysis can drive innovation in de novo macrocycle design.
- Predictive models offer practical tools for optimizing macrocycle properties, including oral absorption.
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