… TB drug development and to further optimize treatment, particularly with respect to dose–exposure–response
and treatment … of pharmacometrics on the treatment of TB, and future …

… We use our next-generation multi-scale computational model … We focus on treatment with
the standard regimen for TB of … We have devised a pipeline for incorporating these factors into …

… As new tools to study drug combinations earlier in the drug development pipeline are being
… integrated with GranSim, a multi-scale model of tuberculosis granuloma formation. GranSim …

… domain information from 5,060 TB patients spanning 10 countries with high burden of MDR-TB
from the NIAID TB Portals database to determine predictors of TB treatment outcome. Our …

… many first-line antimicrobials, including all the current TB drugs. The acquired resistance to
… These models are generated through a homology modelling pipeline. Development of such …

… To fill this gap, we propose a new pipeline which combines traditional Computer Aided
Drug Design (CADD) techniques with in vitro validation and machine learning to ra- tionally …

… clinical data from drug-sensitive pulmonary TB, MDR TB and XDR TB patients across …
patient, drug, and pathogen features with the type of drug resistance and prognosis of treatment in …

… The pipeline adopted the combination of an extensive integrated network … of these drugs
are approved as a part of available TB treatment regimen [6]. The development of new treatment …

… Our models are multi-scale, multi-theory agent-based models. They include social contact
networks at various spatial and temporal scales, and multi-theory behavior expressed at …

… (ATOM) Consortium and created the ATOM Modeling Pipeline (AMPL), a framework for …
’s Center for Accelerated Drug Discovery. Her research uses cutting-edge, multi-scale, in silico …