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.
Guardado en:
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3b316921c3c14158967dd51b494a3bc2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:3b316921c3c14158967dd51b494a3bc2 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT cornelisjkorbee combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT matthiastheemskerk combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT dragikocev combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT elisabethvanstrijen combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT omidrabiee combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT keeslmcfranken combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT louiswilson combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT nigeldlsavage combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT sasodzeroski combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT mariellechaks combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials AT tomhmottenhoff combinedchemicalgeneticsanddatadrivenbioinformaticsapproachidentifiesreceptortyrosinekinaseinhibitorsashostdirectedantimicrobials |
_version_ |
1718390826855301120 |