Compounds > labetalol

labetalol and zithromax

labetalol has been researched along with zithromax in 12 studies

Research

Studies (12)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	5 (41.67)	29.6817
2010's	7 (58.33)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY	1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL	1
Lombardo, F; Obach, RS; Waters, NJ	1
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV	1
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A	1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ	1
Glen, RC; Lowe, R; Mitchell, JB	1
Ekins, S; Williams, AJ; Xu, JJ	1
Bellera, CL; Bruno-Blanch, LE; Castro, EA; Duchowicz, PR; Goodarzi, M; Ortiz, EV; Pesce, G; Talevi, A	1
Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY	1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K	1

Reviews

1 review(s) available for labetalol and zithromax

Article	Year
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

11 other study(ies) available for labetalol and zithromax

Article	Year
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics. Journal of medicinal chemistry, 2004, Feb-26, Volume: 47, Issue:5 Topics: Algorithms; Blood Proteins; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding; Statistics as Topic; Tissue Distribution	2004
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling. Current drug discovery technologies, 2004, Volume: 1, Issue:4 Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration	2004
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
Physicochemical determinants of human renal clearance. Journal of medicinal chemistry, 2009, Aug-13, Volume: 52, Issue:15 Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight	2009
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
Developing structure-activity relationships for the prediction of hepatotoxicity. Chemical research in toxicology, 2010, Jul-19, Volume: 23, Issue:7 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes	2010
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
A predictive ligand-based Bayesian model for human drug-induced liver injury. Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12 Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands	2010
Prediction of drug intestinal absorption by new linear and non-linear QSPR. European journal of medicinal chemistry, 2011, Volume: 46, Issue:1 Topics: Humans; Intestinal Absorption; Linear Models; Molecular Conformation; Nonlinear Dynamics; Permeability; Pharmaceutical Preparations; Probability; Quantitative Structure-Activity Relationship; Thermodynamics	2011
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds. Chemical research in toxicology, 2012, Oct-15, Volume: 25, Issue:10 Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding	2012