High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
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Identification of novel Mt-Guab2 inhibitor series active against M. tuberculosisLearning from the past for TB drug discovery in the futureNew target prediction and visualization tools incorporating open source molecular fingerprints for TB Mobile 2.0Potential inhibitors for isocitrate lyase of Mycobacterium tuberculosis and non-M. tuberculosis: a summaryFiltration improves the performance of a high-throughput screen for anti-mycobacterial compounds8-Hydroxyquinolines: a review of their metal chelating properties and medicinal applicationsA high-throughput screen identifies a new natural product with broad-spectrum antibacterial activityIdentification of novel imidazo[1,2-a]pyridine inhibitors targeting M. tuberculosis QcrBA dual read-out assay to evaluate the potency of compounds active against Mycobacterium tuberculosisEnhancing hit identification in Mycobacterium tuberculosis drug discovery using validated dual-event Bayesian modelsIdentification of new drug targets and resistance mechanisms in Mycobacterium tuberculosisLooking back to the future: predicting in vivo efficacy of small molecules versus Mycobacterium tuberculosisInteraction of ATP with a small heat shock protein from Mycobacterium leprae: effect on its structure and functionBiochemical and structural characterization of mycobacterial aspartyl-tRNA synthetase AspS, a promising TB drug targetA Pipeline for Screening Small Molecules with Growth Inhibitory Activity against Burkholderia cenocepaciaIdentification of New Molecular Entities (NMEs) as Potential Leads against Tuberculosis from Open Source Compound RepositoryScreening and Development of New Inhibitors of FtsZ from M. TuberculosisOpen Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsBigger data, collaborative tools and the future of predictive drug discoveryTB Mobile: a mobile app for anti-tuberculosis molecules with known targetsCombining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosisAdapting high-throughput screening methods and assays for biocontainment laboratories.Computational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets.MycPermCheck: the Mycobacterium tuberculosis permeability prediction tool for small molecules.Diarylcoumarins inhibit mycolic acid biosynthesis and kill Mycobacterium tuberculosis by targeting FadD32Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation.Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosisPredictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets.Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).Discovery and validation of new antitubercular compounds as potential drug leads and probes.Antituberculosis activity of the molecular libraries screening center network library.Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis.The DNA relaxation activity and covalent complex accumulation of Mycobacterium tuberculosis topoisomerase I can be assayed in Escherichia coli: application for identification of potential FRET-dye labeling sites.Validating new tuberculosis computational models with public whole cell screening aerobic activity datasets.High throughput screening of a library based on kinase inhibitor scaffolds against Mycobacterium tuberculosis H37Rv.The structure-activity relationship of urea derivatives as anti-tuberculosis agents.Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery.Fueling open-source drug discovery: 177 small-molecule leads against tuberculosis.Parallel solution-phase synthesis of an adenosine antibiotic analog library.Identification of a chemical that inhibits the mycobacterial UvrABC complex in nucleotide excision repair
P2860
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P2860
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@ast
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@en
type
label
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@ast
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@en
prefLabel
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@ast
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@en
P2093
P2860
P1433
P1476
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv.
@en
P2093
Alka Mehta
Barbara E Laughon
Cecil D Kwong
Dustin N Showe
E Lucile White
Ellen R Faaleolea
John A Secrist
Joseph A Maddry
Judith V Hobrath
Lynn Rasmussen
P2860
P304
P356
10.1016/J.TUBE.2009.05.008
P577
2009-09-15T00:00:00Z