| scholarly article | Q13442814 |
| P50 | author | Sean Ekins | Q7440973 |
| Matthew D. Krasowski | Q37384288 | ||
| Peter W. Swaan | Q40220832 | ||
| P2093 | author name string | Michael W Sinz | |
| Erica J Reschly | |||
| Akash Khandelwal | |||
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| Evaluation of 170 xenobiotics as transactivators of human pregnane X receptor (hPXR) and correlation to known CYP3A4 drug interactions | Q40275355 | ||
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| Structural model reveals key interactions in the assembly of the pregnane X receptor/corepressor complex | Q46923329 | ||
| AmineDB: large scale docking of amines with CYP2D6 and scoring for druglike properties--towards defining the scope of the chemical defense against foreign amines in humans. | Q51910625 | ||
| Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins. | Q52132563 | ||
| Insights for Human Ether-a-Go-Go-Related Gene Potassium Channel Inhibition Using Recursive Partitioning and Kohonen and Sammon Mapping Techniques | Q56512832 | ||
| Three-Dimensional Quantitative Structure-Permeability Relationship Analysis for a Series of Inhibitors of Rhinovirus Replication | Q56513693 | ||
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| Identification of potential pharmacological and toxicological targets differentiating structural analogs by a combination of transcriptional profiling and promoter analysis in LS-180 and Caco-2 adenocarcinoma cell lines | Q79923315 | ||
| P433 | issue | 7 | |
| P921 | main subject | machine learning | Q2539 |
| P304 | page(s) | 1457-1467 | |
| P577 | publication date | 2008-06-12 | |
| P1433 | published in | Chemical Research in Toxicology | Q473530 |
| P1476 | title | Machine learning methods and docking for predicting human pregnane X receptor activation | |
| P478 | volume | 21 |
| Q35206374 | An updated review on drug-induced cholestasis: mechanisms and investigation of physicochemical properties and pharmacokinetic parameters |
| Q35531564 | Binary and ternary combinations of anti-HIV protease inhibitors: effect on gene expression and functional activity of CYP3A4 and efflux transporters |
| Q28472135 | Challenges predicting ligand-receptor interactions of promiscuous proteins: the nuclear receptor PXR |
| Q37921791 | Computational modeling of P450s for toxicity prediction |
| Q33756500 | Elucidating the 'Jekyll and Hyde' nature of PXR: the case for discovering antagonists or allosteric antagonists |
| Q39747519 | Establishment of In Silico Prediction Models for CYP3A4 and CYP2B6 Induction in Human Hepatocytes by Multiple Regression Analysis Using Azole Compounds |
| Q34215650 | Evaluation of computational docking to identify pregnane X receptor agonists in the ToxCast database |
| Q38074989 | Evaluation of pregnane X receptor (PXR)-mediated CYP3A4 drug-drug interactions in drug development |
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| Q33720954 | Hybrid scoring and classification approaches to predict human pregnane X receptor activators |
| Q36105916 | Identification and validation of novel human pregnane X receptor activators among prescribed drugs via ligand-based virtual screening |
| Q33725126 | Identification of clinically used drugs that activate pregnane X receptors |
| Q38896344 | In Silico Prediction of hPXR Activators Using Structure-Based Pharmacophore Modeling |
| Q37124197 | Induction of P-glycoprotein by antiretroviral drugs in human brain microvessel endothelial cells |
| Q56397856 | LASSO-ing Potential Nuclear Receptor Agonists and Antagonists: A New Computational Method for Database Screening |
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| Q45960608 | PXR ligand classification model with SFED-weighted WHIM and CoMMA descriptors. |
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| Q47933969 | Predictive models for identifying the binding activity of structurally diverse chemicals to human pregnane X receptor. |
| Q38173202 | Progress in computational toxicology |
| Q39625852 | Regulation of human pregnane X receptor and its target gene cytochrome P450 3A4 by Chinese herbal compounds and a molecular docking study |
| Q35960314 | Screening Ingredients from Herbs against Pregnane X Receptor in the Study of Inductive Herb-Drug Interactions: Combining Pharmacophore and Docking-Based Rank Aggregation. |
| Q37461507 | The structural basis of pregnane X receptor binding promiscuity |
| Q34614106 | Thiazide-like diuretic drug metolazone activates human pregnane X receptor to induce cytochrome 3A4 and multidrug-resistance protein 1. |
| Q35531766 | Toward predicting drug-induced liver injury: parallel computational approaches to identify multidrug resistance protein 4 and bile salt export pump inhibitors |
| Q33755918 | Understanding nuclear receptors using computational methods |
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