lapatinib has been researched along with tipifarnib in 4 studies
| Studies (lapatinib) | Trials (lapatinib) | Recent Studies (post-2010) (lapatinib) | Studies (tipifarnib) | Trials (tipifarnib) | Recent Studies (post-2010) (tipifarnib) |
|---|---|---|---|---|---|
| 1,919 | 305 | 1,442 | 309 | 92 | 94 |
| Protein | Taxonomy | lapatinib (IC50) | tipifarnib (IC50) |
|---|---|---|---|
| Chain B, Protein farnesyltransferase beta subunit | Rattus norvegicus (Norway rat) | 0.0007 | |
| Cytochrome P450 3A4 | Homo sapiens (human) | 2.88 | |
| Protein farnesyltransferase/geranylgeranyltransferase type-1 subunit alpha | Bos taurus (cattle) | 0.5503 | |
| Protein farnesyltransferase/geranylgeranyltransferase type-1 subunit alpha | Homo sapiens (human) | 2.2237 | |
| Protein farnesyltransferase subunit beta | Bos taurus (cattle) | 0.0006 | |
| Protein farnesyltransferase subunit beta | Homo sapiens (human) | 0.0019 | |
| Geranylgeranyl transferase type-1 subunit beta | Homo sapiens (human) | 10 | |
| Geranylgeranyl transferase type-1 subunit beta | Bos taurus (cattle) | 1.1 | |
| Protein farnesyltransferase alpha subunit | Plasmodium falciparum (malaria parasite P. falciparum) | 0.017 | |
| CAAX farnesyltransferase subunit beta | Plasmodium falciparum (malaria parasite P. falciparum) | 0.017 |
| 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 |
|---|---|
| Davis, MI; Khan, J; Li, SQ; Patel, PR; Shen, M; Sun, H; Thomas, CJ | 1 |
| 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 |
4 other study(ies) available for lapatinib and tipifarnib
| Article | Year |
|---|---|
Identification of potent Yes1 kinase inhibitors using a library screening approach.
Topics: Binding Sites; Cell Line; Cell Survival; Drug Design; Humans; Hydrogen Bonding; Molecular Docking Simulation; Protein Kinase Inhibitors; Protein Structure, Tertiary; Proto-Oncogene Proteins c-yes; Small Molecule Libraries; Structure-Activity Relationship | 2013 |
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 |