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Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds

We have developed a robust, fully automated anti-parasitic drug-screening method that selects compounds specifically targeting parasite enzymes and not their host counterparts, thus allowing the early elimination of compounds with potential side effects. Our yeast system permits multiple parasite ta...

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Autores principales: Bilsland, Elizabeth, Sparkes, Andrew, Williams, Kevin, Moss, Harry J., de Clare, Michaela, Pir, Pınar, Rowland, Jem, Aubrey, Wayne, Pateman, Ron, Young, Mike, Carrington, Mark, King, Ross D., Oliver, Stephen G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603448/
https://www.ncbi.nlm.nih.gov/pubmed/23446112
http://dx.doi.org/10.1098/rsob.120158
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author Bilsland, Elizabeth
Sparkes, Andrew
Williams, Kevin
Moss, Harry J.
de Clare, Michaela
Pir, Pınar
Rowland, Jem
Aubrey, Wayne
Pateman, Ron
Young, Mike
Carrington, Mark
King, Ross D.
Oliver, Stephen G.
author_facet Bilsland, Elizabeth
Sparkes, Andrew
Williams, Kevin
Moss, Harry J.
de Clare, Michaela
Pir, Pınar
Rowland, Jem
Aubrey, Wayne
Pateman, Ron
Young, Mike
Carrington, Mark
King, Ross D.
Oliver, Stephen G.
author_sort Bilsland, Elizabeth
collection PubMed
description We have developed a robust, fully automated anti-parasitic drug-screening method that selects compounds specifically targeting parasite enzymes and not their host counterparts, thus allowing the early elimination of compounds with potential side effects. Our yeast system permits multiple parasite targets to be assayed in parallel owing to the strains’ expression of different fluorescent proteins. A strain expressing the human target is included in the multiplexed screen to exclude compounds that do not discriminate between host and parasite enzymes. This form of assay has the advantages of using known targets and not requiring the in vitro culture of parasites. We performed automated screens for inhibitors of parasite dihydrofolate reductases, N-myristoyltransferases and phosphoglycerate kinases, finding specific inhibitors of parasite targets. We found that our ‘hits’ have significant structural similarities to compounds with in vitro anti-parasitic activity, validating our screens and suggesting targets for hits identified in parasite-based assays. Finally, we demonstrate a 60 per cent success rate for our hit compounds in killing or severely inhibiting the growth of Trypanosoma brucei, the causative agent of African sleeping sickness.
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spelling pubmed-36034482013-03-27 Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds Bilsland, Elizabeth Sparkes, Andrew Williams, Kevin Moss, Harry J. de Clare, Michaela Pir, Pınar Rowland, Jem Aubrey, Wayne Pateman, Ron Young, Mike Carrington, Mark King, Ross D. Oliver, Stephen G. Open Biol Research We have developed a robust, fully automated anti-parasitic drug-screening method that selects compounds specifically targeting parasite enzymes and not their host counterparts, thus allowing the early elimination of compounds with potential side effects. Our yeast system permits multiple parasite targets to be assayed in parallel owing to the strains’ expression of different fluorescent proteins. A strain expressing the human target is included in the multiplexed screen to exclude compounds that do not discriminate between host and parasite enzymes. This form of assay has the advantages of using known targets and not requiring the in vitro culture of parasites. We performed automated screens for inhibitors of parasite dihydrofolate reductases, N-myristoyltransferases and phosphoglycerate kinases, finding specific inhibitors of parasite targets. We found that our ‘hits’ have significant structural similarities to compounds with in vitro anti-parasitic activity, validating our screens and suggesting targets for hits identified in parasite-based assays. Finally, we demonstrate a 60 per cent success rate for our hit compounds in killing or severely inhibiting the growth of Trypanosoma brucei, the causative agent of African sleeping sickness. The Royal Society 2013-02 /pmc/articles/PMC3603448/ /pubmed/23446112 http://dx.doi.org/10.1098/rsob.120158 Text en http://creativecommons.org/licenses/by/3.0/ © 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research
Bilsland, Elizabeth
Sparkes, Andrew
Williams, Kevin
Moss, Harry J.
de Clare, Michaela
Pir, Pınar
Rowland, Jem
Aubrey, Wayne
Pateman, Ron
Young, Mike
Carrington, Mark
King, Ross D.
Oliver, Stephen G.
Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title_full Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title_fullStr Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title_full_unstemmed Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title_short Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
title_sort yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603448/
https://www.ncbi.nlm.nih.gov/pubmed/23446112
http://dx.doi.org/10.1098/rsob.120158
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