disulfiram and chlorothiazide

disulfiram has been researched along with chlorothiazide in 5 studies

Research

Studies (5)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (40.00)29.6817
2010's3 (60.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Bellows, DS; Clarke, ID; Diamandis, P; Dirks, PB; Graham, J; Jamieson, LG; Ling, EK; Sacher, AG; Tyers, M; Ward, RJ; Wildenhain, J1
González-Díaz, H; Orallo, F; Quezada, E; Santana, L; Uriarte, E; Viña, D; Yáñez, M1
Campillo, NE; Guerra, A; Páez, JA1
Bellera, CL; Bruno-Blanch, LE; Castro, EA; Duchowicz, PR; Goodarzi, M; Ortiz, EV; Pesce, G; Talevi, A1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

1 review(s) available for disulfiram and chlorothiazide

ArticleYear
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
    Drug discovery today, 2016, Volume: 21, Issue:4

    Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk

2016

Other Studies

4 other study(ies) available for disulfiram and chlorothiazide

ArticleYear
Chemical genetics reveals a complex functional ground state of neural stem cells.
    Nature chemical biology, 2007, Volume: 3, Issue:5

    Topics: Animals; Cell Survival; Cells, Cultured; Mice; Molecular Structure; Neoplasms; Neurons; Pharmaceutical Preparations; Sensitivity and Specificity; Stem Cells

2007
Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.
    Journal of medicinal chemistry, 2008, Nov-13, Volume: 51, Issue:21

    Topics: Computational Biology; Drug Design; Humans; Isoenzymes; Molecular Structure; Monoamine Oxidase; Monoamine Oxidase Inhibitors; Quantitative Structure-Activity Relationship

2008
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
    European journal of medicinal chemistry, 2010, Volume: 45, Issue:3

    Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical

2010
Prediction of drug intestinal absorption by new linear and non-linear QSPR.
    European journal of medicinal chemistry, 2011, Volume: 46, Issue:1

    Topics: Humans; Intestinal Absorption; Linear Models; Molecular Conformation; Nonlinear Dynamics; Permeability; Pharmaceutical Preparations; Probability; Quantitative Structure-Activity Relationship; Thermodynamics

2011