Unknown

Dataset Information

0

Pathogen Box screening for hit identification against Mycobacterium abscessus.


ABSTRACT: Mycobacterium abscessus is a rapidly growing life-threatening mycobacterium with multiple drug-resistance mechanisms. However, there is no official regimen for M. abscessus therapy. In this study, we screened the Pathogen Box, which contains 400 drug-like molecules active against neglected diseases, to identify active molecules targeting Mycobacterium abscessus using resazurin live/dead assays. In this screening assay, the Z-factor was 0.7, as an indicator of the statistical confidence of the assay. A cut-off of 80% growth inhibition in the screening resulted in the identification of four different compounds at a single concentration (20 ?M). Dose-response curves identified three different hit candidates, i.e., MMV688508, MMV688844, and MMV688845, which generated good inhibitory curves. All hit candidates were expected to have different molecular targets. Among them, MMV688844 showed the best minimum inhibitory concentration value for not only wild-type M. abscessus but also for nine different R and S morphotype clinical isolates. Thus, we found that MMV688844, identified from the Pathogen Box screen, may be a promising candidate in the M. abscessus drug discovery pipeline.

SUBMITTER: Jeong J 

PROVIDER: S-EPMC5919404 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Pathogen Box screening for hit identification against Mycobacterium abscessus.

Jeong Jinsun J   Kim Guehye G   Moon Cheol C   Kim Hyun Jung HJ   Kim Tae Ho TH   Jang Jichan J  

PloS one 20180426 4


Mycobacterium abscessus is a rapidly growing life-threatening mycobacterium with multiple drug-resistance mechanisms. However, there is no official regimen for M. abscessus therapy. In this study, we screened the Pathogen Box, which contains 400 drug-like molecules active against neglected diseases, to identify active molecules targeting Mycobacterium abscessus using resazurin live/dead assays. In this screening assay, the Z-factor was 0.7, as an indicator of the statistical confidence of the as  ...[more]

Similar Datasets

| S-EPMC5687050 | biostudies-literature
| S-EPMC7187604 | biostudies-literature
| S-EPMC6603297 | biostudies-literature
| S-EPMC5444174 | biostudies-literature
| S-EPMC5192139 | biostudies-literature
| S-EPMC4576034 | biostudies-literature
2021-11-18 | GSE185596 | GEO
| S-EPMC9281306 | biostudies-literature
| S-EPMC6658768 | biostudies-literature
| S-EPMC8693020 | biostudies-literature