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2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides

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...

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Detalles Bibliográficos
Autores principales: Zhang, Haiying, Chacko, Silvi, Cannon, Joe R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028278/
https://www.ncbi.nlm.nih.gov/pubmed/35457087
http://dx.doi.org/10.3390/ijms23084269
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author Zhang, Haiying
Chacko, Silvi
Cannon, Joe R.
author_facet Zhang, Haiying
Chacko, Silvi
Cannon, Joe R.
author_sort Zhang, Haiying
collection PubMed
description 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.
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spelling pubmed-90282782022-04-23 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides Zhang, Haiying Chacko, Silvi Cannon, Joe R. Int J Mol Sci Article 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. MDPI 2022-04-12 /pmc/articles/PMC9028278/ /pubmed/35457087 http://dx.doi.org/10.3390/ijms23084269 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Haiying
Chacko, Silvi
Cannon, Joe R.
2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title_full 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title_fullStr 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title_full_unstemmed 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title_short 2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
title_sort 2-pyridine carboxaldehyde for semi-automated soft spot identification in cyclic peptides
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028278/
https://www.ncbi.nlm.nih.gov/pubmed/35457087
http://dx.doi.org/10.3390/ijms23084269
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