New insights into TB physiology suggest untapped therapeutic opportunities
CE Baer, EJ Rubin, CM Sassetti - Immunological reviews, 2015 - Wiley Online Library
The current regimens used to treat tuberculosis are largely comprised of serendipitously
discovered drugs that are combined based on clinical experience. Despite curing millions …
discovered drugs that are combined based on clinical experience. Despite curing millions …
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) …
Challenges associated with current and future TB treatment
M Laurenzi, A Ginsberg… - Infectious Disorders-Drug …, 2007 - ingentaconnect.com
Current tuberculosis (TB) treatment is based on a combination of drugs that were developed
mostly in the central decades of the last century. Cure rates are high for drug sensitive …
mostly in the central decades of the last century. Cure rates are high for drug sensitive …
Tuberculosis drugs: new candidates and how to find more
C Sala, RC Hartkoorn - Future microbiology, 2011 - Future Medicine
The recent years have witnessed significant progress in the development of new drug
candidates for the treatment of TB. While many of these are now in clinical trials, continued …
candidates for the treatment of TB. While many of these are now in clinical trials, continued …
Drugs against Mycobacterium tuberculosis
In this chapter, we review the history of tuberculosis (TB) chemotherapy along with the
mechanisms of action of important drugs against Mycobacterium tuberculosis. We discuss …
mechanisms of action of important drugs against Mycobacterium tuberculosis. We discuss …
Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
Exploring the potential of adjunct therapy in tuberculosis
GV Rayasam, TS Balganesh - Trends in pharmacological sciences, 2015 - cell.com
A critical unmet need for treatment of drug-resistant tuberculosis (TB) is to find novel
therapies that are efficacious, safe, and shorten the duration of treatment. Drug discovery …
therapies that are efficacious, safe, and shorten the duration of treatment. Drug discovery …
Designing molecular diagnostics for current tuberculosis drug regimens
Diagnostic development must occur in parallel with drug development to ensure the
longevity of new treatment compounds. Despite an increasing number of novel and …
longevity of new treatment compounds. Despite an increasing number of novel and …
Therapeutic developments for tuberculosis and nontuberculous mycobacterial lung disease
Tuberculosis (TB) drug discovery and development has undergone nothing short of a
revolution over the past 20 years. Successful public–private partnerships and sustained …
revolution over the past 20 years. Successful public–private partnerships and sustained …
Future target-based drug discovery for tuberculosis?
New drugs that retain potency against multidrug/extensively drug-resistant strains of
Mycobacterium tuberculosis, with the additional benefit of a shortened treatment duration …
Mycobacterium tuberculosis, with the additional benefit of a shortened treatment duration …