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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Main Authors: Haiying Zhang, Silvi Chacko, Joe R. Cannon
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/23/8/4269
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author Haiying Zhang
Silvi Chacko
Joe R. Cannon
author_facet Haiying Zhang
Silvi Chacko
Joe R. Cannon
author_sort Haiying Zhang
collection DOAJ
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 doaj.art-92ea11a5cf6643c996ebfe08257c0b202023-11-30T21:15:21ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-04-01238426910.3390/ijms230842692-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic PeptidesHaiying Zhang0Silvi Chacko1Joe R. Cannon2Department of Metabolism and Pharmacokinetics, Bristol-Myers Squibb Company, Princeton, NJ 08648, USADepartment of Metabolism and Pharmacokinetics, Bristol-Myers Squibb Company, Princeton, NJ 08648, USADepartment of Metabolism and Pharmacokinetics, Bristol-Myers Squibb Company, Princeton, NJ 08648, USACyclic 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.https://www.mdpi.com/1422-0067/23/8/4269peptidemacrocyclic peptideproteolysisproteolytic stabilitysoft spotsite-specific conjugation
spellingShingle Haiying Zhang
Silvi Chacko
Joe R. Cannon
2-Pyridine Carboxaldehyde for Semi-Automated Soft Spot Identification in Cyclic Peptides
International Journal of Molecular Sciences
peptide
macrocyclic peptide
proteolysis
proteolytic stability
soft spot
site-specific conjugation
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 peptide
macrocyclic peptide
proteolysis
proteolytic stability
soft spot
site-specific conjugation
url https://www.mdpi.com/1422-0067/23/8/4269
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AT silvichacko 2pyridinecarboxaldehydeforsemiautomatedsoftspotidentificationincyclicpeptides
AT joercannon 2pyridinecarboxaldehydeforsemiautomatedsoftspotidentificationincyclicpeptides