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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Main Authors: Elizabeth Bilsland, Andrew Sparkes, Kevin Williams, Harry J. Moss, Michaela de Clare, Pınar Pir, Jem Rowland, Wayne Aubrey, Ron Pateman, Mike Young, Mark Carrington, Ross D. King, Stephen G. Oliver
Format: Article
Language:English
Published: The Royal Society 2013-01-01
Series:Open Biology
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.120158
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author Elizabeth Bilsland
Andrew Sparkes
Kevin Williams
Harry J. Moss
Michaela de Clare
Pınar Pir
Jem Rowland
Wayne Aubrey
Ron Pateman
Mike Young
Mark Carrington
Ross D. King
Stephen G. Oliver
author_facet Elizabeth Bilsland
Andrew Sparkes
Kevin Williams
Harry J. Moss
Michaela de Clare
Pınar Pir
Jem Rowland
Wayne Aubrey
Ron Pateman
Mike Young
Mark Carrington
Ross D. King
Stephen G. Oliver
author_sort Elizabeth Bilsland
collection DOAJ
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 doaj.art-068f2d8a3cbc4d3c85128c2a049a3abc2022-12-21T19:21:14ZengThe Royal SocietyOpen Biology2046-24412013-01-013210.1098/rsob.120158120158Yeast-based automated high-throughput screens to identify anti-parasitic lead compoundsElizabeth BilslandAndrew SparkesKevin WilliamsHarry J. MossMichaela de ClarePınar PirJem RowlandWayne AubreyRon PatemanMike YoungMark CarringtonRoss D. KingStephen G. OliverWe 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.https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.120158drug screeningparasitesyeastautomationtropical diseases
spellingShingle Elizabeth Bilsland
Andrew Sparkes
Kevin Williams
Harry J. Moss
Michaela de Clare
Pınar Pir
Jem Rowland
Wayne Aubrey
Ron Pateman
Mike Young
Mark Carrington
Ross D. King
Stephen G. Oliver
Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds
Open Biology
drug screening
parasites
yeast
automation
tropical diseases
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 drug screening
parasites
yeast
automation
tropical diseases
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.120158
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