tipifarnib has been researched along with tae226 in 3 studies
| Studies (tipifarnib) | Trials (tipifarnib) | Recent Studies (post-2010) (tipifarnib) | Studies (tae226) | Trials (tae226) | Recent Studies (post-2010) (tae226) |
|---|---|---|---|---|---|
| 309 | 92 | 94 | 65 | 0 | 49 |
| Protein | Taxonomy | tipifarnib (IC50) | tae226 (IC50) |
|---|---|---|---|
| Chain A, FOCAL ADHESION KINASE 1 | Gallus gallus (chicken) | 0.0062 | |
| Chain A, FOCAL ADHESION KINASE 1 | Gallus gallus (chicken) | 0.0062 | |
| Chain A, FOCAL ADHESION KINASE 1 | Gallus gallus (chicken) | 0.0062 | |
| Chain A, FOCAL ADHESION KINASE 1 | Gallus gallus (chicken) | 0.0062 | |
| Aurora kinase A | Homo sapiens (human) | 0.004 | |
| Serine/threonine-protein kinase/endoribonuclease IRE1 | Homo sapiens (human) | 0.86 | |
| Epidermal growth factor receptor | Homo sapiens (human) | 0.55 | |
| Receptor tyrosine-protein kinase erbB-2 | Homo sapiens (human) | 0.71 | |
| Insulin receptor | Homo sapiens (human) | 0.036 | |
| Insulin-like growth factor 1 receptor | Homo sapiens (human) | 0.1205 | |
| Platelet-derived growth factor receptor beta | Homo sapiens (human) | 2.6 | |
| Fibroblast growth factor receptor 1 | Homo sapiens (human) | 0.75 | |
| Focal adhesion kinase 1 | Homo sapiens (human) | 0.3135 | |
| ALK tyrosine kinase receptor | Homo sapiens (human) | 0.0275 |
| 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 (66.67) | 24.3611 |
| 2020's | 1 (33.33) | 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 |
3 other study(ies) available for tipifarnib and tae226
| 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 |