Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.
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ABSTRACT:
SUBMITTER: Kavvas ES
PROVIDER: S-EPMC6193043 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Publications
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.
Kavvas Erol S ES Catoiu Edward E Mih Nathan N Yurkovich James T JT Seif Yara Y Dillon Nicholas N Heckmann David D Anand Amitesh A Yang Laurence L Nizet Victor V Monk Jonathan M JM Palsson Bernhard O BO
Nature communications 20181017 1
Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimicrobial resistance (AMR). Accordingly, the many publicly available datasets describing its AMR characteristics demand disparate data-type analyses. Here, we develop a reference strain-agnostic computational platform that uses machine learning approaches, complemented by both genetic interaction analysis and 3D structural mutation-mapping, to identify signatures of AMR evolution to 13 antibiotics. ...[more]
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