Page last updated: 2024-08-21

vinblastine and ambroxol

vinblastine has been researched along with ambroxol in 5 studies

Research

Studies (5)

TimeframeStudies, this research(%)All Research%
pre-19901 (20.00)18.7374
1990's0 (0.00)18.2507
2000's2 (40.00)29.6817
2010's2 (40.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Cadel, S; Maiorino, M; Riunno, M; Schiantarelli, P1
Fadda, G1
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

Trials

1 trial(s) available for vinblastine and ambroxol

ArticleYear
Oral neltenexine in patients with obstructive airways diseases: an open, randomised, controlled comparison versus sobrerol.
    Minerva medica, 2001, Volume: 92, Issue:4

    Topics: Administration, Oral; Adult; Aged; Aged, 80 and over; Ambroxol; Expectorants; Female; Humans; Male; Middle Aged; Pulmonary Disease, Chronic Obstructive; Terpenes

2001

Other Studies

4 other study(ies) available for vinblastine and ambroxol

ArticleYear
[Secretodynamic activity of ambroxol in the experimental animal: comparison with bromhexine, sobrerol, domiodol and N-acetyl-L-cysteine].
    Bollettino chimico farmaceutico, 1982, Volume: 121, Issue:9

    Topics: Acetylcysteine; Ambroxol; Animals; Bromhexine; Dioxolanes; Fluoresceins; Male; Mice; Respiratory System; Terpenes

1982
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