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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9028278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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