Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks using PR...
Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks using PRIME
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The ability of
Mycobacterium tuberculosis
(Mtb) to adopt heterogeneous physiological states underlies its success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics...
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Full title
Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks using PRIME
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TN_cdi_doaj_primary_oai_doaj_org_article_19f9589264d743d8835653ceef70aa7a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19f9589264d743d8835653ceef70aa7a
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ISSN
2056-7189
E-ISSN
2056-7189
DOI
10.1038/s41540-021-00205-6
