[HTML][HTML] Anti-tuberculosis treatment strategies and drug development: challenges and priorities

VA Dartois, EJ Rubin - Nature Reviews Microbiology, 2022 - nature.com
Despite two decades of intensified research to understand and cure tuberculosis disease,
biological uncertainties remain and hamper progress. However, owing to collaborative …

Biology of antimicrobial resistance and approaches to combat it

SM Schrader, J Vaubourgeix, C Nathan - Science translational …, 2020 - science.org
Insufficient development of new antibiotics and the rising resistance of bacteria to those that
we have are putting the world at risk of losing the most widely curative class of medicines …

Machine learning methods, databases and tools for drug combination prediction

L Wu, Y Wen, D Leng, Q Zhang, C Dai… - Briefings in …, 2022 - academic.oup.com
Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …

[PDF][PDF] Systematic measurement of combination-drug landscapes to predict in vivo treatment outcomes for tuberculosis

J Larkins-Ford, T Greenstein, N Van, YN Degefu… - Cell systems, 2021 - cell.com
Lengthy multidrug chemotherapy is required to achieve a durable cure in tuberculosis.
However, we lack well-validated, high-throughput in vitro models that predict animal …

Chemical–genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy

EI Koh, PO Oluoch, N Ruecker… - Proceedings of the …, 2022 - National Acad Sciences
Current chemotherapy against Mycobacterium tuberculosis (Mtb), an important human
pathogen, requires a multidrug regimen lasting several months. While efforts have been …

Advances in the design of combination therapies for the treatment of tuberculosis

J Larkins-Ford, BB Aldridge - Expert opinion on drug discovery, 2023 - Taylor & Francis
Introduction Tuberculosis requires lengthy multi-drug therapy. Mycobacterium tuberculosis
occupies different tissue compartments during infection, making drug access and …

[HTML][HTML] Both pharmacokinetic variability and granuloma heterogeneity impact the ability of the first-line antibiotics to sterilize tuberculosis granulomas

JM Cicchese, V Dartois, DE Kirschner… - Frontiers in …, 2020 - frontiersin.org
Tuberculosis (TB) remains as one of the world's deadliest infectious diseases despite the
use of standardized antibiotic therapies. Recommended therapy for drug-susceptible TB is …

Expanding the search for small-molecule antibacterials by multidimensional profiling

K Ortmayr, R de la Cruz Moreno, M Zampieri - Nature Chemical Biology, 2022 - nature.com
New techniques for systematic profiling of small-molecule effects can enhance traditional
growth inhibition screens for antibiotic discovery and change how we search for new …

[HTML][HTML] Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

M Budak, JM Cicchese, P Maiello… - PLOS Computational …, 2023 - journals.plos.org
Tuberculosis (TB) continues to be one of the deadliest infectious diseases in the world,
causing~ 1.5 million deaths every year. The World Health Organization initiated an End TB …

Machine learning to design antimicrobial combination therapies: Promises and pitfalls

JM Cantrell, CH Chung, S Chandrasekaran - Drug Discovery Today, 2022 - Elsevier
Combination therapies can overcome antimicrobial resistance (AMR) and repurpose
existing drugs. However, the large combinatorial space to explore presents a daunting …