Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials

Multidrug resistance necessitates novel approaches to treating bacterial infections. Here, the authors apply their high-throughput screening and in silico prediction approaches to show that host receptor tyrosine kinases are good targets for host-directed therapies against intracellular bacteria.

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Autores principales: Cornelis J. Korbee, Matthias T. Heemskerk, Dragi Kocev, Elisabeth van Strijen, Omid Rabiee, Kees L. M. C. Franken, Louis Wilson, Nigel D. L. Savage, Sašo Džeroski, Mariëlle C. Haks, Tom H. M. Ottenhoff
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/3b316921c3c14158967dd51b494a3bc2
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spelling oai:doaj.org-article:3b316921c3c14158967dd51b494a3bc22021-12-02T14:38:48ZCombined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials10.1038/s41467-017-02777-62041-1723https://doaj.org/article/3b316921c3c14158967dd51b494a3bc22018-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02777-6https://doaj.org/toc/2041-1723Multidrug resistance necessitates novel approaches to treating bacterial infections. Here, the authors apply their high-throughput screening and in silico prediction approaches to show that host receptor tyrosine kinases are good targets for host-directed therapies against intracellular bacteria.Cornelis J. KorbeeMatthias T. HeemskerkDragi KocevElisabeth van StrijenOmid RabieeKees L. M. C. FrankenLouis WilsonNigel D. L. SavageSašo DžeroskiMariëlle C. HaksTom H. M. OttenhoffNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Cornelis J. Korbee
Matthias T. Heemskerk
Dragi Kocev
Elisabeth van Strijen
Omid Rabiee
Kees L. M. C. Franken
Louis Wilson
Nigel D. L. Savage
Sašo Džeroski
Mariëlle C. Haks
Tom H. M. Ottenhoff
Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
description Multidrug resistance necessitates novel approaches to treating bacterial infections. Here, the authors apply their high-throughput screening and in silico prediction approaches to show that host receptor tyrosine kinases are good targets for host-directed therapies against intracellular bacteria.
format article
author Cornelis J. Korbee
Matthias T. Heemskerk
Dragi Kocev
Elisabeth van Strijen
Omid Rabiee
Kees L. M. C. Franken
Louis Wilson
Nigel D. L. Savage
Sašo Džeroski
Mariëlle C. Haks
Tom H. M. Ottenhoff
author_facet Cornelis J. Korbee
Matthias T. Heemskerk
Dragi Kocev
Elisabeth van Strijen
Omid Rabiee
Kees L. M. C. Franken
Louis Wilson
Nigel D. L. Savage
Sašo Džeroski
Mariëlle C. Haks
Tom H. M. Ottenhoff
author_sort Cornelis J. Korbee
title Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
title_short Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
title_full Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
title_fullStr Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
title_full_unstemmed Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
title_sort combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/3b316921c3c14158967dd51b494a3bc2
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