The angiotensin type 1 receptor (AT1R) and its octapeptide ligand, angiotensin II (AngII), engage multiple downstream signaling pathways, including those mediated by heterotrimeric guanosine triphosphate-binding proteins (G proteins) and those mediated by β-arrestin. Here, we examined AT1R-mediated Gα(q) and β-arrestin signaling with multiple AngII analogs bearing substitutions at position 8, which is critical for binding to the AT1R and its activation of G proteins. Using assays that discriminated between ligand-promoted recruitment of β-arrestin to the AT1R and its resulting conformational rearrangement, we extend the concept of biased signaling to include the analog's propensity to differentially promote conformational changes in β-arrestin, two responses that were differentially affected by distinct G protein-coupled receptor kinases. The efficacy of AngII analogs in activating extracellular signal-regulated kinases 1 and 2 correlated with the stability of the complexes between β-arrestin and AT1R in endosomes, rather than with the extent of β-arrestin recruitment to the receptor. In vascular smooth muscle cells, the ligand-induced conformational changes in β-arrestin correlated with whether the ligand promoted β-arrestin-dependent migration or proliferation. Our data indicate that biased signaling not only occurs between G protein- and β-arrestin-mediated pathways but also occurred at the level of the AT1R and β-arrestin, such that different AngII analogs selectively engaged distinct β-arrestin conformations, which led to specific signaling events and cell responses.

In addition to G protein-coupled receptor (GPCR) desensitization and endocytosis, β-arrestin recruitment to ligand-stimulated GPCRs promotes non-canonical signalling cascades. Distinguishing the respective contributions of β-arrestin recruitment to the receptor and β-arrestin-promoted endocytosis in propagating receptor signalling has been limited by the lack of selective analytical tools. Here, using a combination of virtual screening and cell-based assays, we have identified a small molecule that selectively inhibits the interaction between β-arrestin and the β2-adaptin subunit of the clathrin adaptor protein AP2 without interfering with the formation of receptor/β-arrestin complexes. This selective β-arrestin/β2-adaptin inhibitor (Barbadin) blocks agonist-promoted endocytosis of the prototypical β2-adrenergic (β2AR), V2-vasopressin (V2R) and angiotensin-II type-1 (AT1R) receptors, but does not affect β-arrestin-independent (transferrin) or AP2-independent (endothelin-A) receptor internalization. Interestingly, Barbadin fully blocks V2R-stimulated ERK1/2 activation and blunts cAMP accumulation promoted by both V2R and β2AR, supporting the concept of β-arrestin/AP2-dependent signalling for both G protein-dependent and -independent pathways.

In the hit identification stage of drug discovery, a diverse chemical space needs to be explored to identify initial hits. Contrary to empirical scoring functions, absolute protein−ligand binding free-energy perturbation (ABFEP) provides a theoretically more rigorous and accurate description of protein−ligand binding thermodynamics and could, in principle, greatly improve the hit rates in virtual screening. In this work, we describe an implementation of an accurate and reliable ABFEP method in FEP+. We validated the ABFEP method on eight congeneric compound series binding to eight protein receptors including both neutral and charged ligands. For ligands with net charges, the alchemical ion approach is adopted to avoid artifacts in electrostatic potential energy calculations. The calculated binding free energies correlate with experimental results with a weighted average of R 2 = 0.55 for the entire dataset. We also observe an overall root-mean-square error (RMSE) of 1.1 kcal/mol after shifting the zero-point of the simulation data to match the average experimental values. Through ABFEP calculations using apo versus holo protein structures, we demonstrated that the protein conformational and protonation state changes between the apo and holo proteins are the main physical factors contributing to the protein reorganization free energy manifested by the overestimation of raw ABFEP calculated binding free energies using the holo structures of the proteins. Furthermore, we performed ABFEP calculations in three virtual screening applications for hit enrichment. ABFEP greatly improves the hit rates as compared to docking scores or other methods like metadynamics. The good performance of ABFEP in rank ordering compounds demonstrated in this work confirms it as a useful tool to improve the hit rates in virtual screening, thus facilitating hit discovery.