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Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects

Characterizing the biological effects of metabolic transformations (or biotransformation) is one of the key steps in developing safe and effective pharmaceuticals. Sulfate conjugation, one of the major phase II biotransformations, is the focus of this study. While this biotransformation typically fa...

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Detalles Bibliográficos
Autores principales: Yi, Lin, Dratter, Joe, Wang, Chao, Tunge, Jon A., Desaire, Heather
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1592252/
https://www.ncbi.nlm.nih.gov/pubmed/16724218
http://dx.doi.org/10.1007/s00216-006-0495-1
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author Yi, Lin
Dratter, Joe
Wang, Chao
Tunge, Jon A.
Desaire, Heather
author_facet Yi, Lin
Dratter, Joe
Wang, Chao
Tunge, Jon A.
Desaire, Heather
author_sort Yi, Lin
collection PubMed
description Characterizing the biological effects of metabolic transformations (or biotransformation) is one of the key steps in developing safe and effective pharmaceuticals. Sulfate conjugation, one of the major phase II biotransformations, is the focus of this study. While this biotransformation typically facilitates excretion of metabolites by making the compounds more water soluble, sulfation may also lead to bioactivation, producing carcinogenic products. The end result, excretion or bioactivation, depends on the structural features of the sulfation sites, so obtaining the structure of the sulfated metabolites is critically important. We describe herein a very simple, high-throughput procedure for using mass spectrometry to identify the structure—and thus the biological fate—of sulfated metabolites. We have chemically synthesized and analyzed libraries of compounds representing all the biologically relevant types of sulfation products, and using the mass spectral data, the structural features present in these analytes can be reliably determined, with a 97% success rate. This work represents the first example of a high-throughput analysis that can identify the structure of sulfated metabolites and predict their biological effects.
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spelling pubmed-15922522006-10-05 Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects Yi, Lin Dratter, Joe Wang, Chao Tunge, Jon A. Desaire, Heather Anal Bioanal Chem Original Paper Characterizing the biological effects of metabolic transformations (or biotransformation) is one of the key steps in developing safe and effective pharmaceuticals. Sulfate conjugation, one of the major phase II biotransformations, is the focus of this study. While this biotransformation typically facilitates excretion of metabolites by making the compounds more water soluble, sulfation may also lead to bioactivation, producing carcinogenic products. The end result, excretion or bioactivation, depends on the structural features of the sulfation sites, so obtaining the structure of the sulfated metabolites is critically important. We describe herein a very simple, high-throughput procedure for using mass spectrometry to identify the structure—and thus the biological fate—of sulfated metabolites. We have chemically synthesized and analyzed libraries of compounds representing all the biologically relevant types of sulfation products, and using the mass spectral data, the structural features present in these analytes can be reliably determined, with a 97% success rate. This work represents the first example of a high-throughput analysis that can identify the structure of sulfated metabolites and predict their biological effects. Springer-Verlag 2006-05-25 2006-10 /pmc/articles/PMC1592252/ /pubmed/16724218 http://dx.doi.org/10.1007/s00216-006-0495-1 Text en © Springer-Verlag 2006
spellingShingle Original Paper
Yi, Lin
Dratter, Joe
Wang, Chao
Tunge, Jon A.
Desaire, Heather
Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title_full Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title_fullStr Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title_full_unstemmed Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title_short Identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
title_sort identification of sulfation sites of metabolites and prediction of the compounds’ biological effects
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1592252/
https://www.ncbi.nlm.nih.gov/pubmed/16724218
http://dx.doi.org/10.1007/s00216-006-0495-1
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