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A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466

In recent years, there has been a revival of interest in phenotypic-based drug discovery (PDD) due to target-based drug discovery (TDD) falling below expectations. Both PDD and TDD have their unique advantages and should be used as complementary methods in drug discovery. The PhenoTarget approach co...

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Autores principales: Xie, Yan, Feng, Yunjiang, Di Capua, Angela, Mak, Tin, Buchko, Garry W., Myler, Peter J., Liu, Miaomiao, Quinn, Ronald J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143284/
https://www.ncbi.nlm.nih.gov/pubmed/32150903
http://dx.doi.org/10.3390/md18030149
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author Xie, Yan
Feng, Yunjiang
Di Capua, Angela
Mak, Tin
Buchko, Garry W.
Myler, Peter J.
Liu, Miaomiao
Quinn, Ronald J.
author_facet Xie, Yan
Feng, Yunjiang
Di Capua, Angela
Mak, Tin
Buchko, Garry W.
Myler, Peter J.
Liu, Miaomiao
Quinn, Ronald J.
author_sort Xie, Yan
collection PubMed
description In recent years, there has been a revival of interest in phenotypic-based drug discovery (PDD) due to target-based drug discovery (TDD) falling below expectations. Both PDD and TDD have their unique advantages and should be used as complementary methods in drug discovery. The PhenoTarget approach combines the strengths of the PDD and TDD approaches. Phenotypic screening is conducted initially to detect cellular active components and the hits are then screened against a panel of putative targets. This PhenoTarget protocol can be equally applied to pure compound libraries as well as natural product fractions. Here we described the use of the PhenoTarget approach to identify an anti-tuberculosis lead compound. Fractions from Polycarpa aurata were identified with activity against Mycobacterium tuberculosis H37Rv. Native magnetic resonance mass spectrometry (MRMS) against a panel of 37 proteins from Mycobacterium proteomes showed that a fraction from a 95% ethanol re-extraction specifically formed a protein-ligand complex with Rv1466, a putative uncharacterized Mycobacterium tuberculosis protein. The natural product responsible was isolated and characterized to be polycarpine. The molecular weight of the ligand bound to Rv1466, 233 Da, was half the molecular weight of polycarpine less one proton, indicating that polycarpine formed a covalent bond with Rv1466.
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spelling pubmed-71432842020-04-14 A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466 Xie, Yan Feng, Yunjiang Di Capua, Angela Mak, Tin Buchko, Garry W. Myler, Peter J. Liu, Miaomiao Quinn, Ronald J. Mar Drugs Article In recent years, there has been a revival of interest in phenotypic-based drug discovery (PDD) due to target-based drug discovery (TDD) falling below expectations. Both PDD and TDD have their unique advantages and should be used as complementary methods in drug discovery. The PhenoTarget approach combines the strengths of the PDD and TDD approaches. Phenotypic screening is conducted initially to detect cellular active components and the hits are then screened against a panel of putative targets. This PhenoTarget protocol can be equally applied to pure compound libraries as well as natural product fractions. Here we described the use of the PhenoTarget approach to identify an anti-tuberculosis lead compound. Fractions from Polycarpa aurata were identified with activity against Mycobacterium tuberculosis H37Rv. Native magnetic resonance mass spectrometry (MRMS) against a panel of 37 proteins from Mycobacterium proteomes showed that a fraction from a 95% ethanol re-extraction specifically formed a protein-ligand complex with Rv1466, a putative uncharacterized Mycobacterium tuberculosis protein. The natural product responsible was isolated and characterized to be polycarpine. The molecular weight of the ligand bound to Rv1466, 233 Da, was half the molecular weight of polycarpine less one proton, indicating that polycarpine formed a covalent bond with Rv1466. MDPI 2020-03-05 /pmc/articles/PMC7143284/ /pubmed/32150903 http://dx.doi.org/10.3390/md18030149 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xie, Yan
Feng, Yunjiang
Di Capua, Angela
Mak, Tin
Buchko, Garry W.
Myler, Peter J.
Liu, Miaomiao
Quinn, Ronald J.
A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title_full A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title_fullStr A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title_full_unstemmed A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title_short A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466
title_sort phenotarget approach for identifying an alkaloid interacting with the tuberculosis protein rv1466
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143284/
https://www.ncbi.nlm.nih.gov/pubmed/32150903
http://dx.doi.org/10.3390/md18030149
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