n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine has been researched along with 3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one in 2 studies
| Studies (n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine) | Trials (n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine) | Recent Studies (post-2010) (n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine) | Studies (3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one) | Trials (3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one) | Recent Studies (post-2010) (3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one) |
|---|---|---|---|---|---|
| 79 | 1 | 16 | 19 | 0 | 17 |
| Protein | Taxonomy | n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine (IC50) | 3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one (IC50) |
|---|---|---|---|
| RAF proto-oncogene serine/threonine-protein kinase | Homo sapiens (human) | 0.077 | |
| Serine/threonine-protein kinase B-raf | Homo sapiens (human) | 0.0503 |
| 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 | 1 (50.00) | 24.3611 |
| 2020's | 1 (50.00) | 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; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
2 other study(ies) available for n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine and 3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one
| 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 |
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 |