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Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?

[Image: see text] A kinase-targeting cell-based high-throughput screen (HTS) against Trypanosoma brucei was recently reported, and this screening set included the Published Kinase Inhibitor Set (PKIS). From the PKIS was identified 53 compounds with pEC(50) ≥ 6. Utilizing the published data available...

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Autores principales: Amata, Emanuele, Xi, Hualin, Colmenarejo, Gonzalo, Gonzalez-Diaz, Rosario, Cordon-Obras, Carlos, Berlanga, Manuela, Manzano, Pilar, Erath, Jessey, Roncal, Norma E., Lee, Patricia J., Leed, Susan E., Rodriguez, Ana, Sciotti, Richard J., Navarro, Miguel, Pollastri, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791575/
https://www.ncbi.nlm.nih.gov/pubmed/26998514
http://dx.doi.org/10.1021/acsinfecdis.5b00136
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author Amata, Emanuele
Xi, Hualin
Colmenarejo, Gonzalo
Gonzalez-Diaz, Rosario
Cordon-Obras, Carlos
Berlanga, Manuela
Manzano, Pilar
Erath, Jessey
Roncal, Norma E.
Lee, Patricia J.
Leed, Susan E.
Rodriguez, Ana
Sciotti, Richard J.
Navarro, Miguel
Pollastri, Michael P.
author_facet Amata, Emanuele
Xi, Hualin
Colmenarejo, Gonzalo
Gonzalez-Diaz, Rosario
Cordon-Obras, Carlos
Berlanga, Manuela
Manzano, Pilar
Erath, Jessey
Roncal, Norma E.
Lee, Patricia J.
Leed, Susan E.
Rodriguez, Ana
Sciotti, Richard J.
Navarro, Miguel
Pollastri, Michael P.
author_sort Amata, Emanuele
collection PubMed
description [Image: see text] A kinase-targeting cell-based high-throughput screen (HTS) against Trypanosoma brucei was recently reported, and this screening set included the Published Kinase Inhibitor Set (PKIS). From the PKIS was identified 53 compounds with pEC(50) ≥ 6. Utilizing the published data available for the PKIS, a statistical analysis of these active antiparasitic compounds was performed, allowing identification of a set of human kinases having inhibitors that show a high likelihood for blocking T. brucei cellular proliferation in vitro. This observation was confirmed by testing other established inhibitors of these human kinases and by mining past screening campaigns at GlaxoSmithKline. Overall, although the parasite targets of action are not known, inhibitors of this set of human kinases displayed an enhanced hit rate relative to a random kinase-targeting HTS campaign, suggesting that repurposing efforts should focus primarily on inhibitors of these specific human kinases. We therefore term this statistical analysis-driven approach “preferred lead repurposing”.
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spelling pubmed-47915752016-03-16 Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing? Amata, Emanuele Xi, Hualin Colmenarejo, Gonzalo Gonzalez-Diaz, Rosario Cordon-Obras, Carlos Berlanga, Manuela Manzano, Pilar Erath, Jessey Roncal, Norma E. Lee, Patricia J. Leed, Susan E. Rodriguez, Ana Sciotti, Richard J. Navarro, Miguel Pollastri, Michael P. ACS Infect Dis [Image: see text] A kinase-targeting cell-based high-throughput screen (HTS) against Trypanosoma brucei was recently reported, and this screening set included the Published Kinase Inhibitor Set (PKIS). From the PKIS was identified 53 compounds with pEC(50) ≥ 6. Utilizing the published data available for the PKIS, a statistical analysis of these active antiparasitic compounds was performed, allowing identification of a set of human kinases having inhibitors that show a high likelihood for blocking T. brucei cellular proliferation in vitro. This observation was confirmed by testing other established inhibitors of these human kinases and by mining past screening campaigns at GlaxoSmithKline. Overall, although the parasite targets of action are not known, inhibitors of this set of human kinases displayed an enhanced hit rate relative to a random kinase-targeting HTS campaign, suggesting that repurposing efforts should focus primarily on inhibitors of these specific human kinases. We therefore term this statistical analysis-driven approach “preferred lead repurposing”. American Chemical Society 2016-01-17 2016-03-11 /pmc/articles/PMC4791575/ /pubmed/26998514 http://dx.doi.org/10.1021/acsinfecdis.5b00136 Text en Copyright © 2016 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Amata, Emanuele
Xi, Hualin
Colmenarejo, Gonzalo
Gonzalez-Diaz, Rosario
Cordon-Obras, Carlos
Berlanga, Manuela
Manzano, Pilar
Erath, Jessey
Roncal, Norma E.
Lee, Patricia J.
Leed, Susan E.
Rodriguez, Ana
Sciotti, Richard J.
Navarro, Miguel
Pollastri, Michael P.
Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title_full Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title_fullStr Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title_full_unstemmed Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title_short Identification of “Preferred” Human Kinase Inhibitors for Sleeping Sickness Lead Discovery. Are Some Kinases Better than Others for Inhibitor Repurposing?
title_sort identification of “preferred” human kinase inhibitors for sleeping sickness lead discovery. are some kinases better than others for inhibitor repurposing?
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791575/
https://www.ncbi.nlm.nih.gov/pubmed/26998514
http://dx.doi.org/10.1021/acsinfecdis.5b00136
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