
Liver X receptors (LXRs) have been increasingly recognized as a potential therapeutic target to treat pathological conditions ranging from vascular and metabolic diseases, neurological degeneration, to cancers that are driven by lipid metabolism. Amidst intensifying efforts to discover ligands that act through LXRs to achieve the sought-after pharmacological outcomes, several lead compounds are already being tested in clinical trials for a variety of disease interventions. While more potent and selective LXR ligands continue to emerge from screening of small molecule libraries, rational design, and empirical medicinal chemistry approaches, challenges remain in minimizing undesirable effects of LXR activation on lipid metabolism. This review provides a summary of known endogenous, naturally occurring, and synthetic ligands. The review also offers considerations from a molecular modeling perspective with which to design more specific LXRβ ligands based on the interaction energies of ligands and the important amino acid residues in the LXRβ ligand binding domain.
LXRα, LXRβ specific ligands, Organic chemistry, Receptors, Cytoplasmic and Nuclear, Review, Ligands, liver X receptors, QD241-441, Metabolic Diseases, Neoplasms, lipid metabolism, cancer, Humans, Vascular Diseases, Liver X Receptors, diabetes, molecular modeling, Oxysterols, Lipid Metabolism, Enzyme Activation, Liver, Drug Design, atherosclerosis, Nervous System Diseases, Alzheimer’s disease, interaction energy
LXRα, LXRβ specific ligands, Organic chemistry, Receptors, Cytoplasmic and Nuclear, Review, Ligands, liver X receptors, QD241-441, Metabolic Diseases, Neoplasms, lipid metabolism, cancer, Humans, Vascular Diseases, Liver X Receptors, diabetes, molecular modeling, Oxysterols, Lipid Metabolism, Enzyme Activation, Liver, Drug Design, atherosclerosis, Nervous System Diseases, Alzheimer’s disease, interaction energy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 94 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
