Works matching DE "FARNESOID X receptor"
Results: 933
The development of hepatic steatosis depends on the presence of liver-innervating parasympathetic cholinergic neurons in mice fed a high-fat diet.
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- PLoS Biology, 2024, v. 22, n. 10, p. 1, doi. 10.1371/journal.pbio.3002865
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Chemoenzymatic Synthesis of Tri‐antennary N‐Glycans Terminating in Sialyl‐Lewis<sup>x</sup> Reveals the Importance of Glycan Complexity for Influenza A Virus Receptor Binding.
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- Chemistry - A European Journal, 2024, v. 30, n. 32, p. 1, doi. 10.1002/chem.202401108
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Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 3, p. 415, doi. 10.1007/s10822-018-0100-7
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CDOCKER and $$\lambda$$ -dynamics for prospective prediction in D3R Grand Challenge 2.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 89, doi. 10.1007/s10822-017-0050-5
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Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 113, doi. 10.1007/s10822-017-0053-2
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Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 273, doi. 10.1007/s10822-017-0054-1
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Binding free energy predictions of farnesoid X receptor (FXR) agonists using a linear interaction energy (LIE) approach with reliability estimation: application to the D3R Grand Challenge 2.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 239, doi. 10.1007/s10822-017-0055-0
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Binding affinities of the farnesoid X receptor in the D3R Grand Challenge 2 estimated by free-energy perturbation and docking.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 211, doi. 10.1007/s10822-017-0056-z
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Ligand-biased ensemble receptor docking (LigBEnD): a hybrid ligand/receptor structure-based approach.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 187, doi. 10.1007/s10822-017-0058-x
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Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 151, doi. 10.1007/s10822-017-0062-1
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Predicting the affinity of Farnesoid X Receptor ligands through a hierarchical ranking protocol: a D3R Grand Challenge 2 case study.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 231, doi. 10.1007/s10822-017-0063-0
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Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 265, doi. 10.1007/s10822-017-0064-z
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Binding pose and affinity prediction in the 2016 D3R Grand Challenge 2 using the Wilma-SIE method.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 143, doi. 10.1007/s10822-017-0071-0
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Workflows and performances in the ranking prediction of 2016 D3R Grand Challenge 2: lessons learned from a collaborative effort.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 129, doi. 10.1007/s10822-017-0072-z
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Prediction of binding poses to FXR using multi-targeted docking combined with molecular dynamics and enhanced sampling.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 59, doi. 10.1007/s10822-017-0074-x
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Using physics-based pose predictions and free energy perturbation calculations to predict binding poses and relative binding affinities for FXR ligands in the D3R Grand Challenge 2.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 21, doi. 10.1007/s10822-017-0075-9
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Lessons learned from participating in D3R 2016 Grand Challenge 2: compounds targeting the farnesoid X receptor.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 103, doi. 10.1007/s10822-017-0082-x
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Impact of domain knowledge on blinded predictions of binding energies by alchemical free energy calculations.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 199, doi. 10.1007/s10822-017-0083-9
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Modern drug design: the implication of using artificial neuronal networks and multiple molecular dynamic simulations.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 299, doi. 10.1007/s10822-017-0085-7
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D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 1, doi. 10.1007/s10822-017-0088-4
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Ranking docking poses by graph matching of protein-ligand interactions: lessons learned from the D3R Grand Challenge 2.
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- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 1, p. 75, doi. 10.1007/s10822-017-0046-1
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The farnesoid-X-receptor in myeloid cells controls CNS autoimmunity in an IL-10-dependent fashion.
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- Acta Neuropathologica, 2016, v. 132, n. 3, p. 413, doi. 10.1007/s00401-016-1593-6
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What Comes after Ursodeoxycholic Acid in Primary Biliary Cholangitis?
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- Digestive Diseases, 2017, v. 35, n. 4, p. 359, doi. 10.1159/000467547
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Transcriptional regulation of autophagy by an FXR-CREB axis.
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- Nature, 2014, v. 516, n. 7529, p. 108, doi. 10.1038/nature13949
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Cell metabolism: Autophagy transcribed.
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- Nature, 2014, v. 516, n. 7529, p. 40, doi. 10.1038/nature13939
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Validating Well-Functioning Hepatic Organoids for Toxicity Evaluation.
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- Toxics, 2024, v. 12, n. 5, p. 371, doi. 10.3390/toxics12050371
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G蛋白偶联胆汁酸受体1促进胃癌细胞的增殖、迁移和侵袭的实验研究.
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- Progress in Modern Biomedicine, 2022, v. 22, n. 1, p. 32, doi. 10.13241/j.cnki.pmb.2022.01.006
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Progress in treatment of nonalcoholic fatty liver disease.
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- Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi, 2013, v. 29, n. 12, p. 890, doi. 10.3969/j.issn.1001-5256.2013.12.004
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Regulatory effeots of FXR activationon expression of TIMP -1, TIMP -2 and MMP -2 in hepatic stellate cells.
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- Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi, 2013, v. 29, n. 4, p. 290
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The Impact of Bilirubin on 7α- and 7β-Hydroxysteroid Dehydrogenases: Spectra and Docking Analysis.
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- Catalysts (2073-4344), 2023, v. 13, n. 6, p. 965, doi. 10.3390/catal13060965
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Harnessing Oleanolic Acid and Its Derivatives as Modulators of Metabolic Nuclear Receptors.
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- Biomolecules (2218-273X), 2023, v. 13, n. 10, p. 1465, doi. 10.3390/biom13101465
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Emerging Insights into Liver X Receptor α in the Tumorigenesis and Therapeutics of Human Cancers.
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- Biomolecules (2218-273X), 2023, v. 13, n. 8, p. 1184, doi. 10.3390/biom13081184
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Hepatic interleukin‐1 receptor type 1 signalling regulates insulin sensitivity in the early phases of nonalcoholic fatty liver disease.
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- Clinical & Translational Medicine, 2022, v. 12, n. 9, p. 1, doi. 10.1002/ctm2.1048
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A novel role for interleukin 32 in cholestasis.
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- Clinical & Translational Medicine, 2021, v. 11, n. 11, p. 1, doi. 10.1002/ctm2.594
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Discovery of BAR502, as potent steroidal antagonist of leukemia inhibitory factor receptor for the treatment of pancreatic adenocarcinoma.
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- Frontiers in Oncology, 2023, v. 13, p. 1, doi. 10.3389/fonc.2023.1140730
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Reduced peroxisome proliferator-activated receptor-α and bile acid nuclear receptor NR1H4/FXR may affect the hepatic immune microenvironment of biliary atresia.
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- Frontiers in Immunology, 2022, v. 13, p. 1, doi. 10.3389/fimmu.2022.875593
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Intrahepatic Cholestasis of Pregnancy Increases Inflammatory Susceptibility in Neonatal Offspring by Modulating Gut Microbiota.
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- Frontiers in Immunology, 2022, v. 13, p. 1, doi. 10.3389/fimmu.2022.889646
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The bile acid‐sequestering resin sevelamer eliminates the acute GLP‐1 stimulatory effect of endogenously released bile acids in patients with type 2 diabetes.
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- Diabetes, Obesity & Metabolism, 2018, v. 20, n. 2, p. 362, doi. 10.1111/dom.13080
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Effects of obeticholic acid on lipoprotein metabolism in healthy volunteers.
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- Diabetes, Obesity & Metabolism, 2016, v. 18, n. 9, p. 936, doi. 10.1111/dom.12681
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Guggulsterone, a farnesoid X receptor antagonist lowers plasma trimethylamine-N-oxide levels: An evidence from in vitro and in vivo studies.
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- Human & Experimental Toxicology, 2019, v. 38, n. 3, p. 356, doi. 10.1177/0960327118817862
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Does Bile Reflux Influence the Progression of Barrett's Esophagus to Adenocarcinoma?
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- Journal of Neurogastroenterology & Motility, 2014, v. 20, n. 1, p. 124, doi. 10.5056/jnm.2014.20.1.124
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Year in Thyroidology: Basic Science.
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- Thyroid, 2024, v. 34, n. 1, p. 10, doi. 10.1089/thy.2023.0520
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The gut microbiota at the intersection of bile acids and intestinal carcinogenesis: An old story, yet mesmerizing.
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- International Journal of Cancer, 2020, v. 146, n. 7, p. 1780, doi. 10.1002/ijc.32563
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Parabacteroides distasonis ameliorates hepatic fibrosis potentially via modulating intestinal bile acid metabolism and hepatocyte pyroptosis in male mice.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-37459-z
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Gut microbiota alters host bile acid metabolism to contribute to intrahepatic cholestasis of pregnancy.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-36981-4
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Membrane-localized expression, production and assembly of Vibrio parahaemolyticus T3SS2 provides evidence for transertion.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-36762-z
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Disulfiram ameliorates nonalcoholic steatohepatitis by modulating the gut microbiota and bile acid metabolism.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-34671-1
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Hepatic thyroid hormone signalling modulates glucose homeostasis through the regulation of GLP-1 production via bile acid-mediated FXR antagonism.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-34258-w
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O-GlcNAcylation links ChREBP and FXR to glucose-sensing.
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- Frontiers in Endocrinology, 2015, v. 5, p. 1, doi. 10.3389/fendo.2014.00230
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Special Issue Introduction: Human Microbiota—Current Updates on Pathogenetic Mechanisms and Methodological Advances.
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- Genes, 2024, v. 15, n. 12, p. 1552, doi. 10.3390/genes15121552
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