lapatinib has been researched along with entecavir in 4 studies
| Studies (lapatinib) | Trials (lapatinib) | Recent Studies (post-2010) (lapatinib) | Studies (entecavir) | Trials (entecavir) | Recent Studies (post-2010) (entecavir) |
|---|---|---|---|---|---|
| 1,919 | 305 | 1,442 | 17 | 0 | 16 |
| 1,919 | 305 | 1,442 | 1,860 | 248 | 1,424 |
| Protein | Taxonomy | lapatinib (IC50) | entecavir (IC50) |
|---|---|---|---|
| Muscarinic acetylcholine receptor M1 | Homo sapiens (human) | 3.5 | |
| MBT domain-containing protein 1 | Homo sapiens (human) | 9 | |
| Lethal(3)malignant brain tumor-like protein 3 | Homo sapiens (human) | 0.1354 | |
| Lethal(3)malignant brain tumor-like protein 1 | Homo sapiens (human) | 5.6 |
| 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 (75.00) | 24.3611 |
| 2020's | 1 (25.00) | 2.80 |
| Authors | Studies |
|---|---|
| Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for lapatinib and entecavir
| 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 |
3 other study(ies) available for lapatinib and entecavir
| Article | Year |
|---|---|
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
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 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |