n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine has been researched along with sr141716 in 3 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 (sr141716) | Trials (sr141716) | Recent Studies (post-2010) (sr141716) |
|---|---|---|---|---|---|
| 79 | 1 | 16 | 2,229 | 60 | 631 |
| Protein | Taxonomy | n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine (IC50) | sr141716 (IC50) |
|---|---|---|---|
| Bile salt export pump | Homo sapiens (human) | 10 | |
| Cytochrome P450 3A4 | Homo sapiens (human) | 0.0069 | |
| Cannabinoid receptor 1 | Rattus norvegicus (Norway rat) | 0.0081 | |
| Cannabinoid receptor 1 | Homo sapiens (human) | 0.0219 | |
| Cytochrome P450 2C19 | Homo sapiens (human) | 0.0069 | |
| Cannabinoid receptor 2 | Homo sapiens (human) | 2.4666 | |
| Cannabinoid receptor 1 | Mus musculus (house mouse) | 0.025 | |
| Mu-type opioid receptor | Cavia porcellus (domestic guinea pig) | 0.108 | |
| Potassium voltage-gated channel subfamily H member 2 | Homo sapiens (human) | 3.795 |
| 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 n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine and sr141716
| 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 |