Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility

Anand V. Sastry; Nicholas Dillon; Amitesh Anand; Saugat Poudel; Ying Hefner; Sibei Xu; Richard Szubin; Adam M. Feist; Victor Nizet; Bernhard Palsson

doi:10.1128/mSphere.00443-21

mSphere (Aug 2021)

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility

Anand V. Sastry,
Nicholas Dillon,
Amitesh Anand,
Saugat Poudel,
Ying Hefner,
Sibei Xu,
Richard Szubin,
Adam M. Feist,
Victor Nizet,
Bernhard Palsson

Affiliations

Anand V. Sastry: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Nicholas Dillon: ORCiD; Department of Pediatrics, University of California—San Diego, La Jolla, California, USA
Amitesh Anand: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Saugat Poudel: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Ying Hefner: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Sibei Xu: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Richard Szubin: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Adam M. Feist: Department of Bioengineering, University of California—San Diego, La Jolla, California, USA
Victor Nizet: Department of Pediatrics, University of California—San Diego, La Jolla, California, USA
Bernhard Palsson: ORCiD; Department of Bioengineering, University of California—San Diego, La Jolla, California, USA

DOI: https://doi.org/10.1128/mSphere.00443-21
Journal volume & issue: Vol. 6, no. 4

Abstract

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Antibiotic resistance is an imminent threat to global health. Patient treatment regimens are often selected based on results from standardized antibiotic susceptibility testing (AST) in the clinical microbiology lab, but these in vitro

Published in mSphere

ISSN: 2379-5042 (Online)
Publisher: American Society for Microbiology
Country of publisher: United States
LCC subjects: Science: Microbiology
Website: https://journals.asm.org/journal/msphere

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