haloperidol has been researched along with triadimenol in 4 studies
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 | 3 (75.00) | 24.3611 |
2020's | 1 (25.00) | 2.80 |
Authors | Studies |
---|---|
Brodsky, JL; Chiang, A; Chung, WJ; Denny, RA; Goeckeler-Fried, JL; Havasi, V; Hong, JS; Keeton, AB; Mazur, M; Piazza, GA; Plyler, ZE; Rasmussen, L; Rowe, SM; Sorscher, EJ; Weissman, AM; White, EL | 1 |
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 |
4 other study(ies) available for haloperidol and triadimenol
Article | Year |
---|---|
Increasing the Endoplasmic Reticulum Pool of the F508del Allele of the Cystic Fibrosis Transmembrane Conductance Regulator Leads to Greater Folding Correction by Small Molecule Therapeutics.
Topics: Alleles; Benzoates; Cells, Cultured; Cystic Fibrosis; Cystic Fibrosis Transmembrane Conductance Regulator; Endoplasmic Reticulum; Furans; Gene Deletion; HEK293 Cells; HeLa Cells; High-Throughput Screening Assays; Humans; Hydroxamic Acids; Microscopy, Fluorescence; Protein Folding; Protein Structure, Tertiary; Pyrazoles; RNA, Messenger; Small Molecule Libraries; Ubiquitination; Vorinostat | 2016 |
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 |