Article

Transcriptomic signatures predict regulators of drug synergy and clinical regimen efficacy against Tuberculosis

2019-10-10

Abstract excerpt

<h4>ABSTRACT</h4> The rapid spread of multi-drug resistant strains has created a pressing need for new drug regimens to treat tuberculosis (TB), which kills 1.8 million people each year. Identifying new regimens has been challenging due to the slow growth of the pathogen M. tuberculosis (MTB), coupled with large number of possible drug combinations. Here we present a computational model (INDIGO-MTB) that identif...

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Literature Corpus work: 332065d5-4b5c-5ab8-b4dd-6bba3cb38309
DOI: 10.1101/800334

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