lapatinib has been researched along with cyclizine in 2 studies
| Studies (lapatinib) | Trials (lapatinib) | Recent Studies (post-2010) (lapatinib) | Studies (cyclizine) | Trials (cyclizine) | Recent Studies (post-2010) (cyclizine) |
|---|---|---|---|---|---|
| 1,919 | 305 | 1,442 | 300 | 39 | 41 |
| Protein | Taxonomy | lapatinib (IC50) | cyclizine (IC50) |
|---|---|---|---|
| 5-hydroxytryptamine receptor 4 | Cavia porcellus (domestic guinea pig) | 1.021 | |
| Muscarinic acetylcholine receptor M2 | Homo sapiens (human) | 1.158 | |
| Muscarinic acetylcholine receptor M4 | Homo sapiens (human) | 0.852 | |
| Muscarinic acetylcholine receptor M5 | Homo sapiens (human) | 0.633 | |
| Alpha-2A adrenergic receptor | Homo sapiens (human) | 1.551 | |
| Cytochrome P450 2D6 | Homo sapiens (human) | 6.2175 | |
| Muscarinic acetylcholine receptor M1 | Homo sapiens (human) | 0.675 | |
| Muscarinic acetylcholine receptor M3 | Homo sapiens (human) | 0.748 | |
| Alpha-1D adrenergic receptor | Homo sapiens (human) | 1.215 | |
| 5-hydroxytryptamine receptor 2A | Homo sapiens (human) | 0.225 | |
| 5-hydroxytryptamine receptor 2C | Homo sapiens (human) | 1.021 | |
| Histamine H1 receptor | Homo sapiens (human) | 0.038 | |
| D(3) dopamine receptor | Homo sapiens (human) | 2.992 | |
| 5-hydroxytryptamine receptor 2B | Homo sapiens (human) | 0.373 | |
| Sodium-dependent dopamine transporter | Homo sapiens (human) | 0.763 |
| 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 | 2 (100.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
2 other study(ies) available for lapatinib and cyclizine
| 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 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |