berotek has been researched along with diazepam in 10 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 2 (20.00) | 18.7374 |
1990's | 2 (20.00) | 18.2507 |
2000's | 3 (30.00) | 29.6817 |
2010's | 3 (30.00) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 1 |
Lombardo, F; Obach, RS; Waters, NJ | 1 |
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
Campillo, NE; Guerra, A; Páez, JA | 1 |
García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Stünkel, S; Windorfer, A | 1 |
Pringsheim, W; Windorfer, A | 1 |
Rózewicki, S; Sienkiewicz, R | 1 |
Benesová, O; Dostál, M; Husek, P; Kristofiková, Z; Tejkalová, H | 1 |
10 other study(ies) available for berotek and diazepam
Article | Year |
---|---|
QSAR model for drug human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship | 2000 |
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
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.
Topics: | 2008 |
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical | 2010 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
[Significance of pharmacogenic liver reactions for metabolism of endogenous and exogenous substances].
Topics: Carbamazepine; Diazepam; Drug-Related Side Effects and Adverse Reactions; Female; Fenoterol; Humans; Liver; Phenobarbital; Phenytoin; Pregnancy; Primidone | 1979 |
[Investigation on the influence of a tocolytic treatment of pregnant women with diazepam and fenoterol on the bilirubin levels and apgar score of newborn (author's transl)].
Topics: Apgar Score; Bilirubin; Diazepam; Dose-Response Relationship, Drug; Drug Interactions; Ethanolamines; Female; Fenoterol; Humans; Infant, Newborn; Jaundice, Neonatal; Pregnancy; Retrospective Studies | 1979 |
[Evaluation of combined application of diazepam, fenoterol and metamizole in prevention of uterine-tubal spasm during the performance of hysterosalpingography].
Topics: Diazepam; Dipyrone; Drug Therapy, Combination; Fallopian Tube Diseases; Fallopian Tube Patency Tests; Female; Fenoterol; Humans; Hysterosalpingography; Premedication; Spasm; Uterine Diseases | 1992 |
[Perinatal pharmacotherapy and the risk of functional teratogenic defects].
Topics: Abnormalities, Drug-Induced; Animals; Dexamethasone; Diazepam; Female; Fenoterol; Humans; Pregnancy; Pregnancy Complications; Risk Factors | 1995 |