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Title: Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach

Authors:
ORCiD logo; ; ; ; ; ORCiD logo; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1375507
Grant/Contract Number:
AC02-05CH11231
Resource Type:
Journal Article: Published Article
Journal Name:
PLoS Computational Biology (Online)
Additional Journal Information:
Journal Name: PLoS Computational Biology (Online); Journal Volume: 13; Journal Issue: 8; Related Information: CHORUS Timestamp: 2017-08-17 13:40:37; Journal ID: ISSN 1553-7358
Publisher:
Public Library of Science (PLoS)
Country of Publication:
United States
Language:
English

Citation Formats

Pienaar, Elsje, Sarathy, Jansy, Prideaux, Brendan, Dietzold, Jillian, Dartois, Véronique, Kirschner, Denise E., Linderman, Jennifer J., and Diamond, ed., Scott L. Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach. United States: N. p., 2017. Web. doi:10.1371/journal.pcbi.1005650.
Pienaar, Elsje, Sarathy, Jansy, Prideaux, Brendan, Dietzold, Jillian, Dartois, Véronique, Kirschner, Denise E., Linderman, Jennifer J., & Diamond, ed., Scott L. Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach. United States. doi:10.1371/journal.pcbi.1005650.
Pienaar, Elsje, Sarathy, Jansy, Prideaux, Brendan, Dietzold, Jillian, Dartois, Véronique, Kirschner, Denise E., Linderman, Jennifer J., and Diamond, ed., Scott L. 2017. "Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach". United States. doi:10.1371/journal.pcbi.1005650.
@article{osti_1375507,
title = {Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach},
author = {Pienaar, Elsje and Sarathy, Jansy and Prideaux, Brendan and Dietzold, Jillian and Dartois, Véronique and Kirschner, Denise E. and Linderman, Jennifer J. and Diamond, ed., Scott L.},
abstractNote = {},
doi = {10.1371/journal.pcbi.1005650},
journal = {PLoS Computational Biology (Online)},
number = 8,
volume = 13,
place = {United States},
year = 2017,
month = 8
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1371/journal.pcbi.1005650

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  • Approximately one third of the world’s population is infected with Mycobacterium tuberculosis. Limited information about how the immune system fights M. tuberculosis and what constitutes protection from the bacteria impact our ability to develop effective therapies for tuberculosis. We present an in vivo systems biology approach that integrates data from multiple model systems and over multiple length and time scales into a comprehensive multi-scale and multi-compartment view of the in vivo immune response to M. tuberculosis. Lastly, we describe computational models that can be used to study (a) immunomodulation with the cytokines tumor necrosis factor and interleukin 10, (b) oralmore » and inhaled antibiotics, and (c) the effect of vaccination.« less
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