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10-3390-ijms23084269 |
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220425s2022 CNT 000 0 und d |
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|a 16616596 (ISSN)
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|a 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
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|b MDPI
|c 2022
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/ijms23084269
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|a Cyclic peptides are an attractive option as therapeutics due to their ability to disrupt crucial protein–protein interactions and their flexibility in display type screening strategies, but they come with their own bioanalytical challenges in metabolite identification. Initial amide hydrolysis of a cyclic peptide results in a ring opening event in which the sequence is linearized. Unfortunately, the mass of the singly hydrolyzed sequence is the same (M + 18.0106 Da) irrespective of the initial site of hydrolysis, or soft spot. Soft spot identification at this point typically requires time-consuming manual interpretation of the tandem mass spectra, resulting in a substantial bottleneck in the hit to lead process. To overcome this, derivatization using 2-pyridine carboxaldehyde, which shows high selectivity for the alpha amine on the N-terminus, was employed. This strategy results in moderate-to high-efficiency derivatization with a unique mass tag and diagnostic ions that serve to highlight the first amino acid in the newly linearized peptide. The derivatization method and analytical strategy are demonstrated on a whole cell lysate digest, and the soft spot identification strategy is shown with two commercially available cyclic peptides: JB1 and somatostatin. Effective utilization of the automated sample preparation and interpretation of the resulting spectra shown here will serve to reduce the hit-to-lead time for generating promising proteolytically stable peptide candidates. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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|a macrocyclic peptide
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|a peptide
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|a proteolysis
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|a proteolytic stability
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|a site-specific conjugation
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|a soft spot
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|a Cannon, J.R.
|e author
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|a Chacko, S.
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|a Zhang, H.
|e author
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|t International Journal of Molecular Sciences
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