Page last updated: 2024-08-21

spectinomycin and dibekacin

spectinomycin has been researched along with dibekacin in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's3 (75.00)29.6817
2010's1 (25.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Arakawa, Y; Ike, Y; Kimura, K; Kurokawa, H; Shibata, N; Shibayama, K; Suzuki, S; Wachino, J; Yamane, K1
Lombardo, F; Obach, RS; Waters, NJ1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1

Other Studies

4 other study(ies) available for spectinomycin and dibekacin

ArticleYear
Novel plasmid-mediated 16S rRNA m1A1408 methyltransferase, NpmA, found in a clinically isolated Escherichia coli strain resistant to structurally diverse aminoglycosides.
    Antimicrobial agents and chemotherapy, 2007, Volume: 51, Issue:12

    Topics: Amino Acid Sequence; Aminoglycosides; Anti-Bacterial Agents; Chromatography, High Pressure Liquid; Drug Resistance, Bacterial; Escherichia coli; Escherichia coli Proteins; Methyltransferases; Microbial Sensitivity Tests; Models, Molecular; Molecular Sequence Data; Plasmids; Protein Binding; Ribosome Subunits, Small; RNA, Ribosomal, 16S; Sequence Homology, Amino Acid

2007
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
    Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7

    Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding

2008
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
    Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3

    Topics:

2008
Predicting phospholipidosis using machine learning.
    Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

    Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010