Dataset Information
Merget2013 - Mycobacterium tuberculosis permeability prediction tool
Ontology highlight
ABSTRACT: MycPermCheck predicts potential to permeate the Mycobacterium tuberculosis cell membrane based on physicochemical properties. Due to the lack of reliable experimental datapoints, the authors defined the training set using molecules that are active against M.tb. Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos8d8a
ORGANISM(S): Homo sapiens
SUBMITTER: Zainab Ashimiyu-Abdusalam
PROVIDER: MODEL2405210004 | biostudies-other |
SECONDARY ACCESSION(S): 23104888
REPOSITORIES: biostudies-other
Publications
MycPermCheck: the Mycobacterium tuberculosis permeability prediction tool for small molecules.
Bioinformatics (Oxford, England) 20121025 1
<h4>Motivation</h4>With >8 million new cases in 2010, particularly documented in developing countries, tuberculosis (TB) is still a highly present pandemic and often terminal. This is also due to the emergence of antibiotic-resistant strains (MDR-TB and XDR-TB) of the primary causative TB agent Mycobacterium tuberculosis (MTB). Efforts to develop new effective drugs against MTB are restrained by the unique and largely impermeable composition of the mycobacterial cell wall.<h4>Results</h4>Based o ...[more]
