cyc 202 has been researched along with spc-839 in 4 studies
Studies (cyc 202) | Trials (cyc 202) | Recent Studies (post-2010) (cyc 202) | Studies (spc-839) | Trials (spc-839) | Recent Studies (post-2010) (spc-839) |
---|---|---|---|---|---|
979 | 7 | 393 | 37 | 0 | 18 |
Protein | Taxonomy | cyc 202 (IC50) | spc-839 (IC50) |
---|---|---|---|
Inhibitor of nuclear factor kappa-B kinase subunit beta | Homo sapiens (human) | 0.0538 | |
Inhibitor of nuclear factor kappa-B kinase subunit alpha | Homo sapiens (human) | 1.3 | |
Transcription factor AP-1 | Homo sapiens (human) | 0.008 | |
Nuclear factor NF-kappa-B p105 subunit | Homo sapiens (human) | 0.008 | |
Cannabinoid receptor 1 | Rattus norvegicus (Norway rat) | 0.344 | |
Mu-type opioid receptor | Rattus norvegicus (Norway rat) | 0.2527 | |
Receptor-type tyrosine-protein kinase FLT3 | Homo sapiens (human) | 0.618 | |
Nuclear factor NF-kappa-B p100 subunit | Homo sapiens (human) | 0.008 | |
Transcription factor p65 | Homo sapiens (human) | 0.008 | |
Cannabinoid receptor 2 | Rattus norvegicus (Norway rat) | 0.344 |
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 cyc 202 and spc-839
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 |