Compounds > methotrexate
Page last updated: 2024-08-25

methotrexate and bvt.948

methotrexate has been researched along with bvt.948 in 4 studies

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
Boesche, M; Crowther, GJ; Dasari, KS; Drewes, G; El Bakkouri, M; Fox, AM; Ghidelli-Disse, S; He, P; Hillesland, HK; Hui, R; Jones, JC; Keyloun, KR; Krahn, MM; Lafuente-Monasterio, MJ; Leonard, SE; Leroy, D; Maly, DJ; Mo, JS; Ojo, KK; Reid, MC; Rivas, KL; Van Voorhis, WC1
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 methotrexate and bvt.948

ArticleYear
Biochemical Screening of Five Protein Kinases from Plasmodium falciparum against 14,000 Cell-Active Compounds.
    PloS one, 2016, Volume: 11, Issue:3

    Topics: Antimalarials; Calcium; Cell Line, Tumor; Hep G2 Cells; Humans; Malaria, Falciparum; Mitogen-Activated Protein Kinase 1; Mitogen-Activated Protein Kinase Kinases; Plasmodium falciparum; Protein Kinase Inhibitors; Protein Kinases; Protein Serine-Threonine Kinases; Protozoan Proteins

2016
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