Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time

Current antibiotic therapies for tuberculosis are lengthy and onerous. Here, the authors use an output-driven approach to optimize drug doses for two experimental drug regimens in a mouse model of tuberculosis, leading to improved regimens that reduce treatment time by 75%.

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Autores principales:	Bai-Yu Lee, Daniel L. Clemens, Aleidy Silva, Barbara Jane Dillon, Saša Masleša-Galić, Susana Nava, Xianting Ding, Chih-Ming Ho, Marcus A. Horwitz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/589689ebb4e6419f8418ee3376f93d87
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spelling	oai:doaj.org-article:589689ebb4e6419f8418ee3376f93d872021-12-02T17:06:10ZDrug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time10.1038/ncomms141832041-1723https://doaj.org/article/589689ebb4e6419f8418ee3376f93d872017-01-01T00:00:00Zhttps://doi.org/10.1038/ncomms14183https://doaj.org/toc/2041-1723Current antibiotic therapies for tuberculosis are lengthy and onerous. Here, the authors use an output-driven approach to optimize drug doses for two experimental drug regimens in a mouse model of tuberculosis, leading to improved regimens that reduce treatment time by 75%.Bai-Yu LeeDaniel L. ClemensAleidy SilvaBarbara Jane DillonSaša Masleša-GalićSusana NavaXianting DingChih-Ming HoMarcus A. HorwitzNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bai-Yu Lee Daniel L. Clemens Aleidy Silva Barbara Jane Dillon Saša Masleša-Galić Susana Nava Xianting Ding Chih-Ming Ho Marcus A. Horwitz Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
description	Current antibiotic therapies for tuberculosis are lengthy and onerous. Here, the authors use an output-driven approach to optimize drug doses for two experimental drug regimens in a mouse model of tuberculosis, leading to improved regimens that reduce treatment time by 75%.
format	article
author	Bai-Yu Lee Daniel L. Clemens Aleidy Silva Barbara Jane Dillon Saša Masleša-Galić Susana Nava Xianting Ding Chih-Ming Ho Marcus A. Horwitz
author_facet	Bai-Yu Lee Daniel L. Clemens Aleidy Silva Barbara Jane Dillon Saša Masleša-Galić Susana Nava Xianting Ding Chih-Ming Ho Marcus A. Horwitz
author_sort	Bai-Yu Lee
title	Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
title_short	Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
title_full	Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
title_fullStr	Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
title_full_unstemmed	Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
title_sort	drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/589689ebb4e6419f8418ee3376f93d87
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Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time

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