cetirizine and clozapine

cetirizine has been researched along with clozapine in 12 studies

Research

Studies (12)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's7 (58.33)29.6817
2010's4 (33.33)24.3611
2020's1 (8.33)2.80

Authors

AuthorsStudies
Keserü, GM1
Nagashima, R; Nishikawa, T; Tobita, M1
Bakker, RA; Leurs, R; Lim, HD; Ling, P; Thurmond, RL; van Rijn, RM1
Morphy, R; Rankovic, Z1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Jia, L; Sun, H1
Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM1
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A1
Sen, S; Sinha, N1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1
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

Reviews

2 review(s) available for cetirizine and clozapine

ArticleYear
Designed multiple ligands. An emerging drug discovery paradigm.
    Journal of medicinal chemistry, 2005, Oct-20, Volume: 48, Issue:21

    Topics: Angiotensin-Converting Enzyme Inhibitors; Animals; Anti-Allergic Agents; Anti-Inflammatory Agents, Non-Steroidal; Antidepressive Agents; Antihypertensive Agents; Antipsychotic Agents; Chemistry, Pharmaceutical; Dopamine D2 Receptor Antagonists; Drug Design; Humans; Ligands; Metabolic Diseases; Peroxisome Proliferator-Activated Receptors; Receptors, Histamine H1; Selective Serotonin Reuptake Inhibitors

2005
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

10 other study(ies) available for cetirizine and clozapine

ArticleYear
Prediction of hERG potassium channel affinity by traditional and hologram qSAR methods.
    Bioorganic & medicinal chemistry letters, 2003, Aug-18, Volume: 13, Issue:16

    Topics: Cation Transport Proteins; Databases, Factual; Discriminant Analysis; Ether-A-Go-Go Potassium Channels; Holography; Linear Models; Potassium Channel Blockers; Potassium Channels; Potassium Channels, Voltage-Gated; Quantitative Structure-Activity Relationship

2003
A discriminant model constructed by the support vector machine method for HERG potassium channel inhibitors.
    Bioorganic & medicinal chemistry letters, 2005, Jun-02, Volume: 15, Issue:11

    Topics: Animals; CHO Cells; Cricetinae; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Potassium Channel Blockers; Potassium Channels, Voltage-Gated

2005
Evaluation of histamine H1-, H2-, and H3-receptor ligands at the human histamine H4 receptor: identification of 4-methylhistamine as the first potent and selective H4 receptor agonist.
    The Journal of pharmacology and experimental therapeutics, 2005, Volume: 314, Issue:3

    Topics: Cell Line; Histamine Agonists; Humans; Imidazoles; Indoles; Isothiuronium; Ligands; Methylhistamines; Piperazines; Radioligand Assay; Receptors, G-Protein-Coupled; Receptors, Histamine; Receptors, Histamine H1; Receptors, Histamine H2; Receptors, Histamine H3; Receptors, Histamine H4

2005
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
    Current drug discovery technologies, 2004, Volume: 1, Issue:4

    Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration

2004
Support vector machines classification of hERG liabilities based on atom types.
    Bioorganic & medicinal chemistry, 2008, Jun-01, Volume: 16, Issue:11

    Topics: Animals; Arrhythmias, Cardiac; CHO Cells; Computer Simulation; Cricetinae; Cricetulus; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Models, Chemical; Patch-Clamp Techniques; Potassium Channel Blockers; Potassium Channels, Voltage-Gated; Predictive Value of Tests; ROC Curve

2008
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
    Journal of medicinal chemistry, 2008, Oct-09, Volume: 51, Issue:19

    Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship

2008
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
    Chemical research in toxicology, 2010, Volume: 23, Issue:1

    Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship

2010
Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSAR model.
    European journal of medicinal chemistry, 2011, Volume: 46, Issue:2

    Topics: Computer Simulation; Ether-A-Go-Go Potassium Channels; Humans; Molecular Structure; Organic Chemicals; Quantitative Structure-Activity Relationship

2011
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