… a multi-scale pipeline combining two cutting-edge computational approaches, operating at
different biological scales, to evaluate combination therapies using drug transcriptomics and …

… In this work, we have used a systems biology based computational pipeline to strategically
identify six different potential drug targets for tackling latent TB. We further select three of …

… An overview of our TB treatment simulation pipeline using a pharmacokinetics (PK)/pharmacodynamics
(PD) model incorporated into GranSim, our multiscale model that simulates TB …

… The figure represents the pipeline that has been followed in this study to identify essential
genes. Four different methods have been applied independently to filter probable candidates …

… Herein, we discuss recent advances in all stages of TB drug development, starting from hit
… of drugs in TB granulomas and how they relate to clinically observed treatment failures and …

… 40 Figure 3.1 Overview of our multiscale pipeline to predict in vivo drug … a multi-scale
computational model that serves as a tool to integrate the PK and disease variability, PD drug …

… Here we describe a multi-step and multi-scale bioinformatic … used for vaccine formulations
against tuberculosis (TB) [15]. We … Here, we propose a vaccine discovery in silico trial pipeline …

… drug resistance), our primary focus was to build a modular multiscale system pharmacology
modelling pipeline … Moreover, the pipeline allows to translate in vitro testable parameters to …

… to pharmacology, especially in drug development, drug design and drug delivery. Therefore,
… clinical translation of drug development, drug design and drug delivery multiscale models. …

… anti-TB drugs with known metabolic targets. Table 5 provides an overview of the predicted
phenotypes after drug … the modules of a larger multi-scale modeling framework that connects a …