Compounds > ag 1879
Page last updated: 2024-08-16

ag 1879 and cyc 202

ag 1879 has been researched along with cyc 202 in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (33.33)29.6817
2010's3 (50.00)24.3611
2020's1 (16.67)2.80

Authors

AuthorsStudies
Alessi, DR; Arthur, JS; Bain, J; Cohen, P; Elliott, M; Hastie, CJ; Klevernic, I; McLauchlan, H; Plater, L; Shpiro, N1
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
Chihama, K; Hoshino, M; Kawauchi, T; Nabeshima, Y; Nakajima, K; Nishimura, YV; Sekine, K1

Other Studies

6 other study(ies) available for ag 1879 and cyc 202

ArticleYear
The selectivity of protein kinase inhibitors: a further update.
    The Biochemical journal, 2007, Dec-15, Volume: 408, Issue:3

    Topics: Amino Acid Sequence; Animals; Cell Line; Drug Design; Enzyme Activation; Humans; Mitogen-Activated Protein Kinases; Phosphorylation; Protein Kinase Inhibitors; Recombinant Proteins; Spodoptera

2007
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
Dissecting the factors involved in the locomotion mode of neuronal migration in the developing cerebral cortex.
    The Journal of biological chemistry, 2010, Feb-19, Volume: 285, Issue:8

    Topics: Animals; Cell Movement; Cerebral Cortex; Cyclin-Dependent Kinase 5; Female; MAP Kinase Kinase 4; Mice; Mice, Inbred ICR; Neurons; Pregnancy; Protein Kinase C-delta; Protein Kinase Inhibitors; Proto-Oncogene Proteins c-fyn; Purines; Pyrimidines; Roscovitine

2010