haloperidol has been researched along with jrf 12 in 6 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 | 2 (33.33) | 24.3611 |
| 2020's | 4 (66.67) | 2.80 |
| Authors | Studies |
|---|---|
| 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 |
| Agard, DA; Ashworth, A; Barrio-Hernandez, I; Batra, J; Beltrao, P; Bennett, MJ; Bohn, M; Bouhaddou, M; Braberg, H; Broadhurst, DJ; Cai, Y; Cakir, M; Calviello, L; Cavero, DA; Chang, JCJ; Chorba, JS; Craik, CS; d'Enfert, C; Dai, SA; Eckhardt, M; Emerman, M; Fabius, JM; Fletcher, SJ; Floor, SN; Foussard, H; Frankel, AD; Fraser, JS; Fujimori, DG; Ganesan, SJ; García-Sastre, A; Gordon, DE; Gross, JD; Guo, JZ; Haas, K; Haas, P; Hernandez-Armenta, C; Hiatt, J; Huang, XP; Hubert, M; Hüttenhain, R; Ideker, T; Jacobson, M; Jang, GM; Jura, N; Kaake, RM; Kim, M; Kirby, IT; Klippsten, S; Koh, C; Kortemme, T; Krogan, NJ; Kuzuoglu-Ozturk, D; Li, Q; Liboy-Lugo, J; Lin, Y; Liu, X; Liu, Y; Lou, K; Lyu, J; Mac Kain, A; Malik, HS; Mathy, CJP; McGregor, MJ; Melnyk, JE; Memon, D; Meyer, B; Miorin, L; Modak, M; Moreno, E; Mukherjee, S; Naing, ZZC; Noack, J; O'Meara, MJ; O'Neal, MC; Obernier, K; Ott, M; Peng, S; Perica, T; Pilla, KB; Polacco, BJ; Rakesh, R; Rathore, U; Rezelj, VV; Richards, AL; Roesch, F; Rosenberg, OS; Rosenthal, SB; Roth, BL; Roth, TL; Ruggero, D; Safari, M; Sali, A; Saltzberg, DJ; Savar, NS; Schwartz, O; Sharp, PP; Shen, W; Shengjuler, D; Shi, Y; Shoichet, BK; Shokat, KM; Soucheray, M; Stroud, RM; Subramanian, A; Swaney, DL; Taunton, J; Tran, QD; Trenker, R; Tummino, TA; Tutuncuoglu, B; Ugur, FS; Vallet, T; Venkataramanan, S; Verba, KA; Verdin, E; Vignuzzi, M; von Zastrow, M; Wang, HY; Wankowicz, SA; Wenzell, NA; White, KM; Xu, J; Young, JM; Zhang, Z; Zhou, Y | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
| Itkin, M; Kabir, M; Mathé, EA; Nguyễn, ÐT; Padilha, EC; Shah, P; Shinn, P; Siramshetty, V; Wang, AQ; Williams, J; Xu, X; Yu, KR; Zhao, T | 1 |
| Dranchak, PK; Huang, R; Inglese, J; Lamy, L; Oliphant, E; Queme, B; Tao, D; Wang, Y; Xia, M | 1 |
1 review(s) available for haloperidol and jrf 12
| Article | Year |
|---|---|
Using in vitro ADME data for lead compound selection: An emphasis on PAMPA pH 5 permeability and oral bioavailability.
Topics: Administration, Oral; Animals; Betamethasone; Biological Availability; Caco-2 Cells; Cell Membrane Permeability; Cells, Cultured; Dexamethasone; Dogs; Dose-Response Relationship, Drug; Humans; Hydrogen-Ion Concentration; Madin Darby Canine Kidney Cells; Mice; Molecular Structure; Neural Networks, Computer; Ranitidine; Rats; Structure-Activity Relationship; Verapamil | 2022 |
5 other study(ies) available for haloperidol and jrf 12
| Article | Year |
|---|---|
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 |
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.
Topics: Animals; Antiviral Agents; Betacoronavirus; Chlorocebus aethiops; Cloning, Molecular; Coronavirus Infections; COVID-19; COVID-19 Drug Treatment; Drug Evaluation, Preclinical; Drug Repositioning; HEK293 Cells; Host-Pathogen Interactions; Humans; Immunity, Innate; Mass Spectrometry; Molecular Targeted Therapy; Pandemics; Pneumonia, Viral; Protein Binding; Protein Biosynthesis; Protein Domains; Protein Interaction Mapping; Protein Interaction Maps; Receptors, sigma; SARS-CoV-2; SKP Cullin F-Box Protein Ligases; Vero Cells; Viral Proteins | 2020 |
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 |
In vivo quantitative high-throughput screening for drug discovery and comparative toxicology.
Topics: Animals; Caenorhabditis elegans; Drug Discovery; High-Throughput Screening Assays; Humans; Proteomics; Small Molecule Libraries | 2023 |