Compounds > amikacin
Page last updated: 2024-08-23

amikacin and thioridazine

amikacin has been researched along with thioridazine in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (16.67)29.6817
2010's4 (66.67)24.3611
2020's1 (16.67)2.80

Authors

AuthorsStudies
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1
Dixit, PP; Thore, SN1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1
Ammerman, NC; Bax, HI; de Steenwinkel, JEM; de Vogel, CP; Mudde, SE; Schildkraut, JA; van Ingen, J1

Reviews

1 review(s) available for amikacin and thioridazine

ArticleYear
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
    Drug discovery today, 2016, Volume: 21, Issue:4

    Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk

2016

Other Studies

5 other study(ies) available for amikacin and thioridazine

ArticleYear
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
    Chemical research in toxicology, 2010, Volume: 23, Issue:1

    Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship

2010
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
Hybrid triazoles: Design and synthesis as potential dual inhibitor of growth and efflux inhibition in tuberculosis.
    European journal of medicinal chemistry, 2016, Jan-01, Volume: 107

    Topics: Antitubercular Agents; Cells, Cultured; Chemistry Techniques, Synthetic; Drug Design; Drug Evaluation, Preclinical; Drug Synergism; Extensively Drug-Resistant Tuberculosis; Humans; Macrophages; Microbial Sensitivity Tests; Mycobacterium smegmatis; Mycobacterium tuberculosis; Triazoles

2016
Unraveling antibiotic resistance mechanisms in Mycobacterium abscessus: the potential role of efflux pumps.
    Journal of global antimicrobial resistance, 2022, Volume: 31

    Topics: Amikacin; Anti-Bacterial Agents; Cefoxitin; Clarithromycin; Clofazimine; Drug Resistance, Multiple, Bacterial; Humans; Microbial Sensitivity Tests; Mycobacterium abscessus; Thioridazine; Tigecycline; Verapamil

2022