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Published Erratum
. 2019 May 30;14(5):e0217670.
doi: 10.1371/journal.pone.0217670. eCollection 2019.

Correction: Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs

Published Erratum

Correction: Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs

PLOS ONE Staff. PLoS One. .

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0215607.].

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Figures

Fig 1
Fig 1. In vivo short-term efficacy screen of experimental regimens identified in macrophage studies using the PRS platform.
M. tuberculosis infected mice were sham treated (Treatment Group A) or treated with the Standard Regimen (Treatment Group B), PRS Regimen II (Treatment Group C) or one of the top 4-drug combinations (Treatment Groups D-Q) identified from macrophage screening using the PRS platform starting from a pool of 15 TB drugs 5 days per week for 3 weeks. Three days after the last treatment, mice were euthanized to determine bacterial number in the lung. Standard Regimen is comprised of INH, RIF, EMB and PZA at 25, 10, 100 and 150 mg/kg, respectively. PRS Regimen II is comprised of CFZ, BDQ, PZA and EMB at 25, 30, 450 and 100 mg/kg, respectively. Drug doses used in the top 4-drug experimental regimens are as follows: 200–50 mg/kg for AC, 30 mg/kg for BDQ, 25 mg/kg for CFZ, 2.5 mg/kg for DLM, 100 mg/kg for PA824, 450 mg/kg for PZA, 10 mg/kg for RPT and 25 mg/kg for SQ109.

Erratum for

References

    1. Clemens DL, Lee B-Y, Silva A, Dillon BJ, Masleša-Galić S, Nava S, et al. (2019) Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs. PLoS ONE 14(5): e0215607 10.1371/journal.pone.0215607 - DOI - PMC - PubMed

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