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Published on: September 28, 2022
Chemical Classification of Cyclic Depsipeptides.
Lien Taevernier, Evelien Wynendaele, Bert Gevaert
1Drug Quality and Registration (DruQuaR) group, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent. Belgium.
A new classification system for cyclic depsipeptides (CDPs) organizes 1348 natural compounds. This system reveals structural relationships and challenges traditional groupings, aiding CDP research.
Area of Science:
- Natural Product Chemistry
- Chemical Biology
- Medicinal Chemistry
Background:
- Cyclic depsipeptides (CDPs) are diverse cyclic compounds containing amino and hydroxy acids.
- Current classification and naming of CDPs are arbitrary and lack uniformity.
- Understanding CDP structural diversity is crucial for natural product research.
Purpose of the Study:
- To propose a straightforward chemical classification system for cyclic depsipeptides.
- To organize the vast and scattered data on naturally occurring CDPs.
- To provide a tool for scientists studying CDP structures and relationships.
Main Methods:
- Evaluation of 1348 naturally occurring cyclic depsipeptides.
- Development of a classification system based on apparent chemical characteristics.
- Verification of the classification approach's validity.
Main Results:
- A novel, straightforward chemical classification system for CDPs has been established.
- The classification organizes 1348 naturally occurring CDPs based on structural relationships.
- The study identified potential issues with traditional CDP subfamily classifications, such as dolastatins.
Conclusions:
- The proposed classification system effectively organizes CDP diversity and interrelationships.
- This system aids in the identification of existing and novel CDPs.
- The findings offer valuable insights for peptide and natural product scientists studying CDPs.
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