Compounds > go 6976

go 6976 and krn 633

go 6976 has been researched along with krn 633 in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (25.00)29.6817
2010's2 (50.00)24.3611
2020's1 (25.00)2.80

Authors

AuthorsStudies
Bullock, AN; Fedorov, O; Knapp, S; Marsden, B; Müller, S; Pogacic, V; Rellos, P; Schwaller, J; Sundström, M1
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 go 6976 and krn 633

ArticleYear
A systematic interaction map of validated kinase inhibitors with Ser/Thr kinases.
    Proceedings of the National Academy of Sciences of the United States of America, 2007, Dec-18, Volume: 104, Issue:51

    Topics: Amino Acid Sequence; Binding Sites; Clinical Trials as Topic; Drug Evaluation, Preclinical; Enzyme Stability; Humans; Molecular Sequence Data; Phylogeny; Protein Array Analysis; Protein Conformation; Protein Kinase Inhibitors; Protein Serine-Threonine Kinases

2007
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