loratadine has been researched along with sertraline in 6 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 3 (50.00) | 29.6817 |
2010's | 2 (33.33) | 24.3611 |
2020's | 1 (16.67) | 2.80 |
Authors | Studies |
---|---|
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J | 1 |
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
Ahemad, N; Dong, AN; Ong, CE; Palanisamy, UD; Pan, Y; Yiap, BC | 1 |
1 review(s) available for loratadine and sertraline
Article | Year |
---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
5 other study(ies) available for loratadine and sertraline
Article | Year |
---|---|
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
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 |
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model.
Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase | 2008 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
The Molecular and Enzyme Kinetic Basis for Altered Activity of Three Cytochrome P450 2C19 Variants Found in the Chinese Population.
Topics: Alleles; Amino Acid Sequence; Asian People; Catalytic Domain; Coumarins; Cytochrome P-450 CYP2C19; Cytochrome P-450 CYP2C19 Inhibitors; Fluoxetine; Humans; Ketoconazole; Kinetics; Loratadine; Models, Molecular; Molecular Docking Simulation; Mutagenesis, Site-Directed; Nitriles; Omeprazole; Polymorphism, Genetic; Protein Conformation; Protein Isoforms; Recombinant Proteins; Sertraline; Substrate Specificity | 2020 |