Antibiotic treatment simulations

an on-line supplement for

A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment

Elsje Pienaar, Nicholas A. Cilfone, Philana Ling Lin, Veronique Dartois, Joshua T. Mattila, J. Russell Butler, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman, A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment, Journal of Theoretical Biology (2015), pp. 166-179, published online: 24-DEC-2014 DOI: 10.1016/j.jtbi.2014.11.021, PMID: 25497475, PMCID: 4332617
Supplementary 1:	Model calibration, validation, and implementation
Supplementary 2:	High resolution images for snapshots shown in Figure 5 of the main text

Movie 1	Movie 2
Time lapse of daily RIF (left) or INH (right) treatment (regimen 1a) of the granuloma described in Figure 6A. Dosing starts when labels appear.	Time lapse of daily RIF (left) or INH (right) treatment (regimen 1a) of the granuloma described in Figure 6B. Dosing starts when labels appear.
Movie 3	Movie 4
Time lapse of daily RIF (left) or INH (right) dynamics over 2 dosing periods in the granuloma described in Figure 6A. Scale is 0 to 0.5 mg/L for INH and 0 - 10 mg/L for RIF.	Time lapse of daily RIF (left) or INH (right) dynamics over 2 dosing periods in the granuloma described in Figure 6B. Scale is 0 to 0.5 mg/L for INH and 0 - 10 mg/L for RIF.