Proceedings of the National Academy of Sciences · 2022 · 30 citations · 56 references
Efforts to decrease the adverse effects of nuclear receptor (NR) drugs have yielded experimental agonists that produce better outcomes in mice. Some of these agonists have been shown to cause different, not just less intense, on-target transcriptomic effects; however, a structural explanation for such agonist-specific effects remains unknown. Here, we show that partial agonists of the NR peroxisome proliferator-associated receptor γ (PPARγ), which induce better outcomes in mice compared to clinically utilized type II diabetes PPARγ-binding drugs thiazolidinediones (TZDs), also favor a different group of coactivator peptides than the TZDs. We find that PPARγ full agonists can also be biased relative to each other in terms of coactivator peptide binding. We find differences in coactivator-PPARγ bonding between the coactivator subgroups which allow agonists to favor one group of coactivator peptides over another, including differential bonding to a C-terminal residue of helix 4. Analysis of all available NR-coactivator structures indicates that such differential helix 4 bonding persists across other NR-coactivator complexes, providing a general structural mechanism of biased agonism for many NRs. Further work will be necessary to determine if such bias translates into altered coactivator occupancy and physiology in cells.
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Highly accurate protein structure prediction with AlphaFold
John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 42K citations · Full text
ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB
James Maier, Carmenza Martinez, Koushik Kasavajhala et al. · Journal of Chemical Theory and Computation · 2015 · 10.6K citations · Full text
Structural Bioinformatics, Biomolecular Structure Prediction, Amber Ff12sb Parameter +24
Glycemic Durability of Rosiglitazone, Metformin, or Glyburide Monotherapy
Steven E. Kahn, Steven M. Haffner, Mark Heise et al. · New England Journal of Medicine · 2006 · 2.9K citations