fingolimod has been researched along with ketamine in 4 studies
| Studies (fingolimod) | Trials (fingolimod) | Recent Studies (post-2010) (fingolimod) | Studies (ketamine) | Trials (ketamine) | Recent Studies (post-2010) (ketamine) |
|---|---|---|---|---|---|
| 65 | 0 | 51 | 15,029 | 2,321 | 6,678 |
| Protein | Taxonomy | fingolimod (IC50) | ketamine (IC50) |
|---|---|---|---|
| Glutamate receptor ionotropic, NMDA 1 | Rattus norvegicus (Norway rat) | 4.216 | |
| Glutamate receptor ionotropic, NMDA 2A | Rattus norvegicus (Norway rat) | 4.216 | |
| Glutamate receptor ionotropic, NMDA 2B | Rattus norvegicus (Norway rat) | 5.02 | |
| Glutamate receptor ionotropic, NMDA 2C | Rattus norvegicus (Norway rat) | 5.02 | |
| Glutamate receptor ionotropic, NMDA 1 | Homo sapiens (human) | 3.7762 | |
| Glutamate receptor ionotropic, NMDA 2A | Homo sapiens (human) | 3.5563 | |
| Glutamate receptor ionotropic, NMDA 2B | Homo sapiens (human) | 4.1059 | |
| Glutamate receptor ionotropic, NMDA 2D | Rattus norvegicus (Norway rat) | 5.02 | |
| Glutamate receptor ionotropic, NMDA 3B | Rattus norvegicus (Norway rat) | 5.02 | |
| Glutamate receptor ionotropic, NMDA 3A | Rattus norvegicus (Norway rat) | 5.02 |
| 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 |
|---|---|
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 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 fingolimod and ketamine
| Article | Year |
|---|---|
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
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 |