Page last updated: 2024-09-04

cyc 202 and spc-839

cyc 202 has been researched along with spc-839 in 4 studies

Compound Research Comparison

Studies
(cyc 202)
Trials
(cyc 202)
Recent Studies (post-2010)
(cyc 202)
Studies
(spc-839)
Trials
(spc-839)
Recent Studies (post-2010) (spc-839)
979739337018

Protein Interaction Comparison

ProteinTaxonomycyc 202 (IC50)spc-839 (IC50)
Inhibitor of nuclear factor kappa-B kinase subunit betaHomo sapiens (human)0.0538
Inhibitor of nuclear factor kappa-B kinase subunit alphaHomo sapiens (human)1.3
Transcription factor AP-1Homo sapiens (human)0.008
Nuclear factor NF-kappa-B p105 subunitHomo sapiens (human)0.008
Cannabinoid receptor 1Rattus norvegicus (Norway rat)0.344
Mu-type opioid receptorRattus norvegicus (Norway rat)0.2527
Receptor-type tyrosine-protein kinase FLT3Homo sapiens (human)0.618
Nuclear factor NF-kappa-B p100 subunit Homo sapiens (human)0.008
Transcription factor p65Homo sapiens (human)0.008
Cannabinoid receptor 2Rattus norvegicus (Norway rat)0.344

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's3 (75.00)24.3611
2020's1 (25.00)2.80

Authors

AuthorsStudies
Davis, MI; Khan, J; Li, SQ; Patel, PR; Shen, M; Sun, H; Thomas, CJ1
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR1
Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR1
Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR1

Other Studies

4 other study(ies) available for cyc 202 and spc-839

ArticleYear
Identification of potent Yes1 kinase inhibitors using a library screening approach.
    Bioorganic & medicinal chemistry letters, 2013, Aug-01, Volume: 23, Issue:15

    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.
    Bioorganic & medicinal chemistry, 2017, 02-01, Volume: 25, Issue:3

    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.
    Bioorganic & medicinal chemistry, 2019, 07-15, Volume: 27, Issue:14

    Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility

2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
    Scientific reports, 2020, 11-26, Volume: 10, Issue:1

    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