cyc 202 has been researched along with amg 925 in 4 studies
Studies (cyc 202) | Trials (cyc 202) | Recent Studies (post-2010) (cyc 202) | Studies (amg 925) | Trials (amg 925) | Recent Studies (post-2010) (amg 925) |
---|---|---|---|---|---|
979 | 7 | 393 | 10 | 0 | 10 |
Protein | Taxonomy | cyc 202 (IC50) | amg 925 (IC50) |
---|---|---|---|
Cyclin-dependent kinase 1 | Homo sapiens (human) | 2.22 | |
Cyclin-dependent kinase 4 | Homo sapiens (human) | 0.0097 | |
G2/mitotic-specific cyclin-B1 | Homo sapiens (human) | 2.22 | |
G1/S-specific cyclin-D1 | Homo sapiens (human) | 0.003 | |
Cyclin-dependent kinase 2 | Homo sapiens (human) | 0.375 | |
Receptor-type tyrosine-protein kinase FLT3 | Homo sapiens (human) | 0.002 | |
Cyclin-dependent kinase 6 | Homo sapiens (human) | 0.008 |
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 | 2 (50.00) | 24.3611 |
2020's | 2 (50.00) | 2.80 |
Authors | Studies |
---|---|
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 |
Li, J; Liang, C; Liu, C; Qiang, T; Ren, X; Shi, Z; Tian, L; Xing, Y | 1 |
1 review(s) available for cyc 202 and amg 925
Article | Year |
---|---|
From Structure Modification to Drug Launch: A Systematic Review of the Ongoing Development of Cyclin-Dependent Kinase Inhibitors for Multiple Cancer Therapy.
Topics: Antineoplastic Agents; Breast Neoplasms; Cell Cycle; Cyclin-Dependent Kinase 4; Cyclin-Dependent Kinase 6; Cyclin-Dependent Kinases; Female; Humans; Pharmaceutical Preparations; Protein Kinase Inhibitors | 2022 |
3 other study(ies) available for cyc 202 and amg 925
Article | Year |
---|---|
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 |