Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis

Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis

Multidrug combination therapy is an important strategy for treating tuberculosis, the world’s deadliest bacterial infection. Long treatment durations and growing rates of drug resistance have created an urgent need for new approaches to prioritize effective drug regimens. Hence, we developed a compu...

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Bibliographic Details
Main Authors: Shuyi Ma, Suraj Jaipalli, Jonah Larkins-Ford, Jenny Lohmiller, Bree B. Aldridge, David R. Sherman, Sriram Chandrasekaran
Format: Article
Language:English
Published: American Society for Microbiology 2019-11-01
Series:mBio
Subjects:
tuberculosis
drug combinations
transcription factors
drug synergy
transcriptomics
mycobacterium tuberculosis
computer modeling
drug interactions
gene expression
Online Access:https://doi.org/10.1128/mBio.02627-19

Internet

https://doi.org/10.1128/mBio.02627-19

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