raloxifene has been researched along with lapatinib in 3 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 3 (100.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Ballard, TE; Henderson, JL; Kalgutkar, AS; Obach, RS; Orr, ST; Ripp, SL; Scott, DO; Sun, H | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
2 review(s) available for raloxifene and lapatinib
| Article | Year |
|---|---|
Mechanism-based inactivation (MBI) of cytochrome P450 enzymes: structure-activity relationships and discovery strategies to mitigate drug-drug interaction risks.
Topics: Animals; Apoproteins; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Drug Discovery; Drug Interactions; Heme; Humans; Models, Biological; Pharmacokinetics; Structure-Activity Relationship; Time Factors | 2012 |
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 |
1 other study(ies) available for raloxifene and lapatinib
| Article | Year |
|---|---|
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |