desipramine and abacavir

desipramine has been researched along with abacavir in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (25.00)29.6817
2010's6 (75.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Lombardo, F; Obach, RS; Waters, NJ1
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ1
Glen, RC; Lowe, R; Mitchell, JB1
Ekins, S; Williams, AJ; Xu, JJ1
Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1
Jones, LH; Nadanaciva, S; Rana, P; Will, Y1

Reviews

1 review(s) available for desipramine and abacavir

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

7 other study(ies) available for desipramine and abacavir

ArticleYear
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
    Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7

    Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding

2008
Physicochemical determinants of human renal clearance.
    Journal of medicinal chemistry, 2009, Aug-13, Volume: 52, Issue:15

    Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight

2009
Developing structure-activity relationships for the prediction of hepatotoxicity.
    Chemical research in toxicology, 2010, Jul-19, Volume: 23, Issue:7

    Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes

2010
Predicting phospholipidosis using machine learning.
    Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

    Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010
A predictive ligand-based Bayesian model for human drug-induced liver injury.
    Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12

    Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands

2010
FDA-approved drug labeling for the study of drug-induced liver injury.
    Drug discovery today, 2011, Volume: 16, Issue:15-16

    Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration

2011
Development of a cell viability assay to assess drug metabolite structure-toxicity relationships.
    Bioorganic & medicinal chemistry letters, 2016, 08-15, Volume: 26, Issue:16

    Topics: Adenosine Triphosphate; Benzbromarone; Cell Line; Cell Survival; Chromans; Cytochrome P-450 CYP2C9; Cytochrome P-450 CYP2D6; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme System; Humans; Pharmaceutical Preparations; Thiazolidinediones; Troglitazone

2016