ArticlePloS one2023
Molecular dynamics of the ERRγ ligand-binding domain bound with agonist and inverse agonist.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Insights into human TLR9 structural dynamics and recognition of pathogen-associated CpG DNA using molecular dynamics simulation.iScience · 2026Article
- Structural Pharmacology of Estrogen-Related Receptors.ACS pharmacology & translational science · 2026Review
- Binding modes and interaction mechanism of bisphenol A and its analogs in constitutive androstane receptor.Scientific reports · 2025Article
- Albumin conjugated with WQPDTAHHWATL and GRFLTGGTGRLLRIS peptide improves targeted docetaxel delivery for prostate cancer: anResearch in pharmaceutical sciences · 2025Article
- Deciphering the Regulatory Potential of Antioxidant and Electron-Shuttling Bioactive Compounds in Oolong Tea.Biology · 2025Article
- Illuminating ligand-induced dynamics in nuclear receptors through MD simulations.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024Review
- Unraveling Extremely DamagingJournal of personalized medicine · 2023Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estrogen-related receptor gamma (ERRγ), the latest member of the ERR family, does not have any known reported natural ligands. Although the crystal structures of the apo, agonist-bound, and inverse agonist-bound ligand-binding domain (LBD) of ERRγ have been solved previously, their dynamic behavior has not been studied. Hence, to explore the intrinsic dynamics of the apo and ligand-bound forms of ERRγ, we applied long-range molecular dynamics (MD) simulations to the crystal structures of the apo and ligand-bound forms of the LBD of ERRγ. Using the MD trajectories, we performed hydrogen bond and binding free energy analysis, which suggested that the agonist displayed more hydrogen bonds with ERRγ than the inverse agonist 4-OHT. However, the binding energy of 4-OHT was higher than that of the agonist GSK4716, indicating that hydrophobic interactions are crucial for the binding of the inverse agonist. From principal component analysis, we observed that the AF-2 helix conformation at the C-terminal domain was similar to the initial structures during simulations, indicating that the AF-2 helix conformation is crucial with respect to the agonist or inverse agonist for further functional activity of ERRγ. In addition, we performed residue network analysis to understand intramolecular signal transduction within the protein. The betweenness centrality suggested that few of the amino acids are important for residue signal transduction in apo and ligand-bound forms. The results from this study may assist in designing better therapeutic compounds against ERRγ associated diseases.
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