Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

Mycobacterium tuberculosis exhibits complex evolution of antimicrobial resistance (AMR). Here, the authors perform machine learning and structural analysis to identify signatures of AMR evolution to 13 antibiotics.

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Autores principales:	Erol S. Kavvas, Edward Catoiu, Nathan Mih, James T. Yurkovich, Yara Seif, Nicholas Dillon, David Heckmann, Amitesh Anand, Laurence Yang, Victor Nizet, Jonathan M. Monk, Bernhard O. Palsson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/43c5a44a956f4bc3a0b1035a0afc669c
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spelling	oai:doaj.org-article:43c5a44a956f4bc3a0b1035a0afc669c2021-12-02T17:32:15ZMachine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance10.1038/s41467-018-06634-y2041-1723https://doaj.org/article/43c5a44a956f4bc3a0b1035a0afc669c2018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06634-yhttps://doaj.org/toc/2041-1723Mycobacterium tuberculosis exhibits complex evolution of antimicrobial resistance (AMR). Here, the authors perform machine learning and structural analysis to identify signatures of AMR evolution to 13 antibiotics.Erol S. KavvasEdward CatoiuNathan MihJames T. YurkovichYara SeifNicholas DillonDavid HeckmannAmitesh AnandLaurence YangVictor NizetJonathan M. MonkBernhard O. PalssonNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Erol S. Kavvas Edward Catoiu Nathan Mih James T. Yurkovich Yara Seif Nicholas Dillon David Heckmann Amitesh Anand Laurence Yang Victor Nizet Jonathan M. Monk Bernhard O. Palsson Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
description	Mycobacterium tuberculosis exhibits complex evolution of antimicrobial resistance (AMR). Here, the authors perform machine learning and structural analysis to identify signatures of AMR evolution to 13 antibiotics.
format	article
author	Erol S. Kavvas Edward Catoiu Nathan Mih James T. Yurkovich Yara Seif Nicholas Dillon David Heckmann Amitesh Anand Laurence Yang Victor Nizet Jonathan M. Monk Bernhard O. Palsson
author_facet	Erol S. Kavvas Edward Catoiu Nathan Mih James T. Yurkovich Yara Seif Nicholas Dillon David Heckmann Amitesh Anand Laurence Yang Victor Nizet Jonathan M. Monk Bernhard O. Palsson
author_sort	Erol S. Kavvas
title	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
title_short	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
title_full	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
title_fullStr	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
title_full_unstemmed	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
title_sort	machine learning and structural analysis of mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/43c5a44a956f4bc3a0b1035a0afc669c
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Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

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