Page last updated: 2024-08-25

gentamicin c1 and tobramycin

gentamicin c1 has been researched along with tobramycin in 5 studies

Research

Studies (5)

TimeframeStudies, this research(%)All Research%
pre-19902 (40.00)18.7374
1990's0 (0.00)18.2507
2000's2 (40.00)29.6817
2010's1 (20.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Alborn, WE; Allen, NE; Kirst, HA; Toth, JE1
Iyengar, BS; Kumar, V; Remers, WA; Wunz, TP1
Hines, JV; Means, JA1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1

Other Studies

5 other study(ies) available for gentamicin c1 and tobramycin

ArticleYear
Comparison of aminoglycoside antibiotics with respect to uptake and lethal activity in Escherichia coli.
    Journal of medicinal chemistry, 1987, Volume: 30, Issue:2

    Topics: Aminoglycosides; Anti-Bacterial Agents; Biological Transport; Escherichia coli; Indicators and Reagents; Kinetics; Structure-Activity Relationship

1987
Aminoglycoside antibiotics. 6. Chemical reactions of aminoglycosides with disodium carbenicillin.
    Journal of medicinal chemistry, 1986, Volume: 29, Issue:5

    Topics: Acylation; Amikacin; Aminoglycosides; Anti-Bacterial Agents; Carbenicillin; Chromatography, Thin Layer; Gentamicins; Humans; Kanamycin; Magnetic Resonance Spectroscopy; Tobramycin

1986
Fluorescence resonance energy transfer studies of aminoglycoside binding to a T box antiterminator RNA.
    Bioorganic & medicinal chemistry letters, 2005, Apr-15, Volume: 15, Issue:8

    Topics: Aminoglycosides; Bacterial Proteins; Fluorescence Resonance Energy Transfer; RNA-Binding Proteins; RNA, Bacterial; T-Box Domain Proteins

2005
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