| Assay ID | Title | Year | Journal | Article |
|---|
| AID625291 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for liver function tests abnormal | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID64429 | In vitro inhibition of [3H]spiperone binding to Dopamine receptor D2 in rat striatal membranes | 1990 | Journal of medicinal chemistry, Mar, Volume: 33, Issue:3
| Pre- and postsynaptic dopaminergic activities of indolizidine and quinolizidine derivatives of 3-(3-hydroxyphenyl)-N-(n-propyl)piperidine (3-PPP). Further developments of a dopamine receptor model. |
| AID625289 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for liver disease | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625284 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for hepatic failure | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID65118 | Binding affinity was evaluated by calculating competition for [3H]spiperone binding on Dopamine receptor D3 expressed on CHO K-1 cells. | 1996 | Journal of medicinal chemistry, Oct-11, Volume: 39, Issue:21
| Affinity for dopamine D2, D3, and D4 receptors of 2-aminotetralins. Relevance of D2 agonist binding for determination of receptor subtype selectivity. |
| AID625286 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for hepatitis | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625285 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for hepatic necrosis | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID64502 | Binding affinity was evaluated by calculating competition for [3H]N-0437 binding on Dopamine receptor D2L of CHO K-1 cells | 1996 | Journal of medicinal chemistry, Oct-11, Volume: 39, Issue:21
| Affinity for dopamine D2, D3, and D4 receptors of 2-aminotetralins. Relevance of D2 agonist binding for determination of receptor subtype selectivity. |
| AID625290 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for liver fatty | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625281 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for cholelithiasis | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625279 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for bilirubinemia | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID64635 | Binding affinity was evaluated by calculating competition for [3H]spiperone binding on Dopamine receptor D2L of CHO K-1 cells. | 1996 | Journal of medicinal chemistry, Oct-11, Volume: 39, Issue:21
| Affinity for dopamine D2, D3, and D4 receptors of 2-aminotetralins. Relevance of D2 agonist binding for determination of receptor subtype selectivity. |
| AID64006 | Binding affinity was evaluated by calculating competition for [3H]spiperone binding on Dopamine receptor D4.2 of CHO K-1 cells. | 1996 | Journal of medicinal chemistry, Oct-11, Volume: 39, Issue:21
| Affinity for dopamine D2, D3, and D4 receptors of 2-aminotetralins. Relevance of D2 agonist binding for determination of receptor subtype selectivity. |
| AID625282 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for cirrhosis | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID64428 | In vitro inhibition of [3H]N-0437 binding to Dopamine receptor D2 in rat striatal membranes | 1990 | Journal of medicinal chemistry, Mar, Volume: 33, Issue:3
| Pre- and postsynaptic dopaminergic activities of indolizidine and quinolizidine derivatives of 3-(3-hydroxyphenyl)-N-(n-propyl)piperidine (3-PPP). Further developments of a dopamine receptor model. |
| AID625288 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for jaundice | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625280 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for cholecystitis | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625287 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for hepatomegaly | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625283 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) score for elevated liver function tests | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID625292 | Drug Induced Liver Injury Prediction System (DILIps) training set; hepatic side effect (HepSE) combined score | 2011 | PLoS computational biology, Dec, Volume: 7, Issue:12
| Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). |
| AID1296008 | Cytotoxic Profiling of Annotated Libraries Using Quantitative High-Throughput Screening | 2020 | SLAS discovery : advancing life sciences R & D, 01, Volume: 25, Issue:1
| Cytotoxic Profiling of Annotated and Diverse Chemical Libraries Using Quantitative High-Throughput Screening. |
| AID1347159 | Primary screen GU Rhodamine qHTS for Zika virus inhibitors: Unlinked NS2B-NS3 protease assay | 2020 | Proceedings of the National Academy of Sciences of the United States of America, 12-08, Volume: 117, Issue:49
| Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors. |
| AID1347160 | Primary screen NINDS Rhodamine qHTS for Zika virus inhibitors | 2020 | Proceedings of the National Academy of Sciences of the United States of America, 12-08, Volume: 117, Issue:49
| Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors. |
| AID1346987 | P-glycoprotein substrates identified in KB-8-5-11 adenocarcinoma cell line, qHTS therapeutic library screen | 2019 | Molecular pharmacology, 11, Volume: 96, Issue:5
| A High-Throughput Screen of a Library of Therapeutics Identifies Cytotoxic Substrates of P-glycoprotein. |
| AID1346986 | P-glycoprotein substrates identified in KB-3-1 adenocarcinoma cell line, qHTS therapeutic library screen | 2019 | Molecular pharmacology, 11, Volume: 96, Issue:5
| A High-Throughput Screen of a Library of Therapeutics Identifies Cytotoxic Substrates of P-glycoprotein. |
| [information is prepared from bioassay data collected from National Library of Medicine (NLM), extracted Dec-2023] |