Back

Conformational dynamics of the active state of β-arrestin 1

Ngo, V.; Asher, W. B.; Javitch, J. A.; Shi, L.

2025-06-14 biophysics
10.1101/2025.06.10.658911 bioRxiv
Show abstract

{beta}-arrestins ({beta}arr) regulate the signaling and trafficking of G protein-coupled receptors (GPCRs) in numerous physiological processes and have been implicated in various diseases. Structural and kinetic insights into how ligand-mediated GPCR activation drives {beta}arr coupling and activation remain limited, with the binding mechanism of the phosphorylated GPCR C-terminal tails, such as that of the vasopressin receptor-2 (V2Rpp), and the conformation of the entire {beta}arr tail in the active state still unknown. Here, we simulated both the basal and V2Rpp-bound states of {beta}arr1 with temperature replica-exchange molecular dynamics (TREMD) simulations to probe the activation mechanism of {beta}arr1. Compared to conventional MD, our TREMD simulations, employing an unprecedented 200-replica setup, significantly broadened conformational sampling while preserving the basal state. Our analysis showed that, without the bound Fab30 antibody fragment, the main body of V2Rpp-bound {beta}arr1 tended to transition toward the basal conformation; however, binding of V2Rpp in the N-domain groove allosterically oriented the finger loop to point upward for core engagement with a GPCR. Furthermore, V2Rpp dissociation events suggest that its binding involves a sliding movement along the N-domain groove, during which its phosphorylated residues p3 and p4 transiently occupy the S5 site to facilitate repositioning of p5 into the S5 site, thereby triggering a zippering process of p1 to p3. The dynamic 62-residue {beta}arr1 tail explored a vast conformational space, forming transient secondary structures, and could favorably anchor on the main bodys back side and within the central crest crevice. These findings elucidate key mechanistic steps underlying {beta}arr1 activation.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.