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Published on: January 26, 2016
Combinatorial Library Screening Coupled to Mass Spectrometry to Identify Valuable Cyclic Peptides
Silvia A Camperi1,2, Silvana L Giudicessi1,2, María C Martínez-Ceron1,2
1NANOBIOTEC Institute, UBA-CONICET, Cathedra of Biotechnology, School of Pharmacy and Biochemistry, University of Buenos Aires, Buenos Aires, Argentina.
We developed two methods for creating cyclic peptide libraries for mass spectrometry (MS) analysis. These strategies accelerate the discovery of cyclic peptides with potential therapeutic applications.
Area of Science:
- Medicinal Chemistry
- Biotechnology
- Analytical Chemistry
Background:
- Cyclic peptides offer advantages in biological activity, selectivity, affinity, and stability.
- Combinatorial library screening combined with mass spectrometry (MS) is effective for identifying peptides.
- Discovering novel cyclic peptide structures is crucial for drug development.
Purpose of the Study:
- To present two novel strategies for preparing combinatorial libraries of cyclic peptides.
- To facilitate the discovery of cyclic peptide structures using mass spectrometry (MS) analysis.
- To optimize the process of identifying peptides with high biological relevance.
Main Methods:
- Utilized ChemMatrix resin and 4-hydroxymethylbenzoic acid linker for library synthesis.
- Developed a one-bead-two-peptides strategy for direct MS analysis comparison.
- Incorporated a glycolamidic ester for cyclic depsipeptide library synthesis, enabling simultaneous ring opening and peptide release.
Main Results:
- Successfully prepared combinatorial libraries suitable for MS-based screening.
- Demonstrated two distinct approaches for generating diverse cyclic peptide structures.
- Facilitated efficient analysis and identification of cyclic peptides post-screening.
Conclusions:
- The described strategies accelerate the discovery of cyclic peptide structures.
- These methods enhance the utility of combinatorial library screening coupled with MS analysis.
- The protocols provide a foundation for identifying cyclic peptides with improved therapeutic properties.
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