The implications of model-informed drug discovery and development for tuberculosis
M Muliaditan, GR Davies, USH Simonsson… - Drug Discovery …, 2017 - Elsevier
Highlights•Dose selection for new combination therapy in tuberculosis has remained
empirical.•Novel tools are needed for effective translation of preclinical models to humans.•A …
empirical.•Novel tools are needed for effective translation of preclinical models to humans.•A …
[HTML][HTML] Advancing tuberculosis drug regimen development through innovative quantitative translational pharmacology methods and approaches
The development of novel tuberculosis (TB) multi-drug regimens that are more efficacious
and of shorter duration requires a robust drug development pipeline. Advances in …
and of shorter duration requires a robust drug development pipeline. Advances in …
Development of new tuberculosis drugs: translation to regimen composition for drug-sensitive and multidrug-resistant tuberculosis
Tuberculosis (TB) kills more people than any other infectious disease. Challenges for
developing better treatments include the complex pathology due to within-host immune …
developing better treatments include the complex pathology due to within-host immune …
Translational model‐informed approach for selection of tuberculosis drug combination regimens in early clinical development
BO Susanto, SG Wicha, Y Hu… - Clinical …, 2020 - Wiley Online Library
The development of optimal treatment regimens in tuberculosis (TB) remains challenging
due to the need of combination therapy and possibility of pharmacodynamic (PD) …
due to the need of combination therapy and possibility of pharmacodynamic (PD) …
Advancing the development of new tuberculosis treatment regimens: the essential role of translational and clinical pharmacology and microbiology
KE Dooley, D Hanna, V Mave, K Eisenach… - PLoS …, 2019 - journals.plos.org
Application of clinical pharmacology best practices is essential to the efficient and rational
development of drugs. In general, knowledge gained about exposure–response …
development of drugs. In general, knowledge gained about exposure–response …
Pre-clinical tools for predicting drug efficacy in treatment of tuberculosis
H Margaryan, DD Evangelopoulos, L Muraro Wildner… - Microorganisms, 2022 - mdpi.com
Combination therapy has, to some extent, been successful in limiting the emergence of drug-
resistant tuberculosis. Drug combinations achieve this advantage by simultaneously acting …
resistant tuberculosis. Drug combinations achieve this advantage by simultaneously acting …
Model-informed drug discovery and development strategy for the rapid development of anti-tuberculosis drug combinations
RC Van Wijk, R Ayoun Alsoud, H Lennernäs… - Applied Sciences, 2020 - mdpi.com
Featured Application Model-informed drug discovery and development (MID3) is proposed
to be applied throughout the preclinical to clinical phases to provide an informative …
to be applied throughout the preclinical to clinical phases to provide an informative …
Evaluation of pharmacokinetic‐pharmacodynamic relationships and selection of drug combinations for tuberculosis
M Muliaditan, O Della Pasqua - British Journal of Clinical …, 2021 - Wiley Online Library
Aims Despite evidence of the efficacy of anti‐tubercular drug regimens in clinical practice,
the rationale underpinning the selection of doses and companion drugs for combination …
the rationale underpinning the selection of doses and companion drugs for combination …
Challenges in the clinical assessment of novel tuberculosis drugs
To tackle the global TB epidemic effectively, novel treatment strategies are critically needed
to shorten the duration of TB therapy and treat drug-resistant TB. Drug development for TB …
to shorten the duration of TB therapy and treat drug-resistant TB. Drug development for TB …
A minimal PBPK model to accelerate preclinical development of drugs against tuberculosis
Introduction: Understanding drug exposure at disease target sites is pivotal to profiling new
drug candidates in terms of tolerability and efficacy. Such quantification is particularly …
drug candidates in terms of tolerability and efficacy. Such quantification is particularly …