Probing Activation and Conformational Dynamics of the Vesicle-Reconstituted ß2 Adrenergic Receptor at the Single-Molecule Level.

G-protein-coupled receptors (GPCRs) are structurally flexible membrane proteins that mediate a host of physiological responses to extracellular ligands like hormones and neurotransmitters. Fine features of their dynamic structural behavior are hypothesized to encode the functional plasticity seen in GPCR activity, where ligands with different efficacies can direct the same receptor toward different signaling phenotypes. Although the number of GPCR crystal structures is increasing, the receptors are characterized by complex and poorly understood conformational landscapes. Therefore, we employed a fluorescence microscopy assay to monitor conformational dynamics of single ß2 adrenergic receptors (ß2ARs). To increase the biological relevance of our findings, we decided not to reconstitute the receptor in detergent micelles but rather lipid membranes as proteoliposomes. The conformational dynamics were monitored by changes in the intensity of an environmentally sensitive boron-dipyrromethene (BODIPY 493/503) fluorophore conjugated to an endogenous cysteine (located at the cytoplasmic end of the sixth transmembrane helix of the receptor). Using total internal reflection fluorescence microscopy (TIRFM) and a single small unilamellar liposome assay that we previously developed, we followed the real-time dynamic properties of hundreds of single ß2ARs reconstituted in a native-like environment─lipid membranes. Our results showed that ß2AR-BODIPY fluctuates between several states of different intensity on a time scale of seconds, compared to BODIPY-lipid conjugates that show almost entirely stable fluorescence emission in the absence and presence of the full agonist BI-167107. Agonist stimulation changes the ß2AR dynamics, increasing the population of states with higher intensities and prolonging their durations, consistent with bulk experiments. The transition density plot demonstrates that ß2AR-BODIPY, in the absence of the full agonist, interconverts between states of low and moderate intensity, while the full agonist renders transitions between moderate and high-intensity states more probable. This redistribution is consistent with a mechanism of conformational selection and is a promising first step toward characterizing the conformational dynamics of GPCRs embedded in a lipid bilayer.

Biased Signaling in Mutated Variants of ß2-Adrenergic Receptor: Insights from Molecular Dynamics Simulations.

The molecular basis of receptor bias in G protein-coupled receptors (GPCRs) caused by mutations that preferentially activate specific intracellular transducers over others remains poorly understood. Two experimentally identified biased variants of ß2-adrenergic receptors (ß2AR), a prototypical GPCR, are a triple mutant (T68F, Y132A, and Y219A) and a single mutant (Y219A); the former bias the receptor toward the ß-arrestin pathway by disfavoring G protein engagement, while the latter induces G protein signaling explicitly due to selection against GPCR kinases (GRKs) that phosphorylate the receptor as a prerequisite of ß-arrestin binding. Though rigorous characterizations have revealed functional implications of these mutations, the atomistic origin of the observed transducer selectivity is not clear. In this study, we investigated the allosteric mechanism of receptor bias in ß2AR using microseconds of all-atom Gaussian accelerated molecular dynamics (GaMD) simulations. Our observations reveal distinct rearrangements in transmembrane helices, intracellular loop 3, and critical residues R1313.50 and Y3267.53 in the conserved motifs D(E)RY and NPxxY for the mutant receptors, leading to their specific transducer interactions. Moreover, partial dissociation of G protein from the receptor core is observed in the simulations of the triple mutant in contrast to the single mutant and wild-type receptor. The reorganization of allosteric communications from the extracellular agonist BI-167107 to the intracellular receptor-transducer interfaces drives the conformational rearrangements responsible for receptor bias in the single and triple mutants. The molecular insights into receptor bias of ß2AR presented here could improve the understanding of biased signaling in GPCRs, potentially opening new avenues for designing novel therapeutics with fewer side-effects and superior efficacy.

"Photo-Adrenalines": Photoswitchable ß2 -Adrenergic Receptor Agonists as Molecular Probes for the Study of Spatiotemporal Adrenergic Signaling.

ß2 -adrenergic receptor (ß2 -AR) agonists are used for the treatment of asthma and chronic obstructive pulmonary disease, but also play a role in other complex disorders including cancer, diabetes and heart diseases. As the cellular and molecular mechanisms in various cells and tissues of the ß2 -AR remain vastly elusive, we developed tools for this investigation with high temporal and spatial resolution. Several photoswitchable ß2 -AR agonists with nanomolar activity were synthesized. The most potent agonist for ß2 -AR with reasonable switching is a one-digit nanomolar active, trans-on arylazopyrazole-based adrenaline derivative and comprises valuable photopharmacological properties for further biological studies with high structural accordance to the native ligand adrenaline.

State-dependent dynamics of extramembrane domains in the ß2 -adrenergic receptor.

G protein-coupled receptors (GPCRs) are membrane-bound signaling proteins that play an essential role in cellular signaling processes. Due to their intrinsic function of transmitting internal signals in response to external cues, these receptors are adapted to be highly dynamic in nature. The ß2 -adrenergic receptor (ß2 AR) is a representative member of the family that has been extensively analyzed in terms of its structure and activation. Although the structure of the transmembrane domain has been characterized in the different functional states of the receptor, the conformational dynamics of the extramembrane domains, especially the intrinsically disordered regions are still emerging. In this study, we analyze the state-dependent dynamics of extramembrane domains of ß2 AR using atomistic molecular dynamics simulations. We introduce a parameter, the residue excess dynamics that allows us to better quantify receptor dynamics. Using this measure, we show that the dynamics of the extramembrane domains are sensitive to the receptor state. Interestingly, the ligand-bound intermediate R ' state shows the maximal dynamics compared to either the active R*G or inactive R states. Ligand binding appears to be correlated with high residue excess dynamics that are dampened upon G protein coupling. The intracellular loop-3 (ICL3) domain has a tendency to flip towards the membrane upon ligand binding, which could contribute to receptor "priming." We highlight an important ICL1-helix-8 interplay that is broken in the ligand-bound state but is retained in the active state. Overall, our study highlights the importance of characterizing the functional dynamics of the GPCR loop domains.

Molecular determinants of ligand efficacy and potency in GPCR signaling.

Heterotrimeric guanine nucleotide-binding protein (G protein)-coupled receptors (GPCRs) bind to extracellular ligands and drugs and modulate intracellular responses through conformational changes. Despite their importance as drug targets, the molecular origins of pharmacological properties such as efficacy (maximum signaling response) and potency (the ligand concentration at half-maximal response) remain poorly understood for any ligand-receptor-signaling system. We used the prototypical adrenaline-ß2 adrenergic receptor-G protein system to reveal how specific receptor residues decode and translate the information encoded in a ligand to mediate a signaling response. We present a data science framework to integrate pharmacological and structural data to uncover structural changes and allosteric networks relevant for ligand pharmacology. These methods can be tailored to study any ligand-receptor-signaling system, and the principles open possibilities for designing orthosteric and allosteric compounds with defined signaling properties.

Coevolution-Driven Method for Efficiently Simulating Conformational Changes in Proteins Reveals Molecular Details of Ligand Effects in the ß2AR Receptor.

With the advent of AI-powered structure prediction, the scientific community is inching closer to solving protein folding. An unresolved enigma, however, is to accurately, reliably, and deterministically predict alternative conformational states that are crucial for the function of, e.g., transporters, receptors, or ion channels where conformational cycling is innately coupled to protein function. Accurately discovering and exploring all conformational states of membrane proteins has been challenging due to the need to retain atomistic detail while enhancing the sampling along interesting degrees of freedom. The challenges include but are not limited to finding which degrees of freedom are relevant, how to accelerate the sampling along them, and then quantifying the populations of each micro- and macrostate. In this work, we present a methodology that finds relevant degrees of freedom by combining evolution and physics through machine learning and apply it to the conformational sampling of the ß2 adrenergic receptor. In addition to predicting new conformations that are beyond the training set, we have computed free energy surfaces associated with the protein's conformational landscape. We then show that the methodology is able to quantitatively predict the effect of an array of ligands on the ß2 adrenergic receptor activation through the discovery of new metastable states not present in the training set. Lastly, we also stake out the structural determinants of activation and inactivation pathway signaling through different ligands and compare them to functional experiments to validate our methodology and potentially gain further insights into the activation mechanism of the ß2 adrenergic receptor.

Activation/Deactivation Free-Energy Profiles for the ß2-Adrenergic Receptor: Ligand Modes of Action.

We use enhanced-sampling simulations with an effective collective variable to study the activation of the ß2-adrenergic receptor in the presence of ligands with different efficacy. The free-energy profiles are computed for the ligand-free (apo) receptor and binary (apo-receptor + G-protein α-subunit and receptor + ligand) and ternary complexes. The results are not only compatible with available experiments but also allow unprecedented structural insight into the nature of GPCR conformations along the activation pathway and their role in the activation mechanism. In particular, the simulations reveal an unexpected mode of action of partial agonists such as salmeterol and salbutamol that arises already in the binary complex without the G-protein. Specific differences in the polar interactions with residues in TM5, which are required to stabilize an optimal TM6 conformation that facilitates G-protein binding and receptor activation, play a major role in differentiating them from full agonists.

Gαs is dispensable for ß-arrestin coupling but dictates GRK selectivity and is predominant for gene expression regulation by ß2-adrenergic receptor.

ß-arrestins play a key role in G protein-coupled receptor (GPCR) internalization, trafficking, and signaling. Whether ß-arrestins act independently of G protein-mediated signaling has not been fully elucidated. Studies using genome-editing approaches revealed that whereas G proteins are essential for mitogen-activated protein kinase activation by GPCRs., ß-arrestins play a more prominent role in signal compartmentalization. However, in the absence of G proteins, GPCRs may not activate ß-arrestins, thereby limiting the ability to distinguish G protein from ß-arrestin-mediated signaling events. We used ß2-adrenergic receptor (ß2AR) and its ß2AR-C tail mutant expressed in human embryonic kidney 293 cells wildtype or CRISPR-Cas9 gene edited for Gαs, ß-arrestin1/2, or GPCR kinases 2/3/5/6 in combination with arrestin conformational sensors to elucidate the interplay between Gαs and ß-arrestins in controlling gene expression. We found that Gαs is not required for ß2AR and ß-arrestin conformational changes, ß-arrestin recruitment, and receptor internalization, but that Gαs dictates the GPCR kinase isoforms involved in ß-arrestin recruitment. By RNA-Seq analysis, we found that protein kinase A and mitogen-activated protein kinase gene signatures were activated by stimulation of ß2AR in wildtype and ß-arrestin1/2-KO cells but absent in Gαs-KO cells. These results were validated by re-expressing Gαs in the corresponding KO cells and silencing ß-arrestins in wildtype cells. These findings were extended to cellular systems expressing endogenous levels of ß2AR. Overall, our results support that Gs is essential for ß2AR-promoted protein kinase A and mitogen-activated protein kinase gene expression signatures, whereas ß-arrestins initiate signaling events modulating Gαs-driven nuclear transcriptional activity.

Molecular Dynamics and Machine Learning Study of Adrenaline Dynamics in the Binding Pocket of GPCR.

G-protein coupled receptors (GPCRs) are the most prominent family of membrane proteins that serve as major targets for one-third of the drugs produced. A detailed understanding of the molecular mechanism of drug-induced activation and inhibition of GPCRs is crucial for the rational design of novel therapeutics. The binding of the neurotransmitter adrenaline to the ß2-adrenergic receptor (ß2AR) is known to induce a flight or fight cellular response, but much remains to be understood about binding-induced dynamical changes in ß2AR and adrenaline. In this article, we examine the potential of mean force (PMF) for the unbinding of adrenaline from the orthosteric binding site of ß2AR and the associated dynamics using umbrella sampling and molecular dynamics (MD) simulations. The calculated PMF reveals a global energy minimum, which corresponds to the crystal structure of ß2AR-adrenaline complex, and a meta-stable state in which the adrenaline is moved slightly deeper into the binding pocket with a different orientation compared to that in the crystal structure. The orientational and conformational changes in adrenaline during the transition between these two states and the underlying driving forces of this transition are also explored. Based on the clustering of MD configurations and machine learning-based statistical analyses of time series of relevant collective variables, the structures and stabilizing interactions of these two states of the ß2AR-adrenaline complex are also investigated.

Design of Drug Efficacy Guided by Free Energy Simulations of the ß2 -Adrenoceptor.

G-protein-coupled receptors (GPCRs) play important roles in physiological processes and are modulated by drugs that either activate or block signaling. Rational design of the pharmacological efficacy profiles of GPCR ligands could enable the development of more efficient drugs, but is challenging even if high-resolution receptor structures are available. We performed molecular dynamics simulations of the ß2 adrenergic receptor in active and inactive conformations to assess if binding free energy calculations can predict differences in ligand efficacy for closely related compounds. Previously identified ligands were successfully classified into groups with comparable efficacy profiles based on the calculated shift in ligand affinity upon activation. A series of ligands were then predicted and synthesized, leading to the discovery of partial agonists with nanomolar potencies and novel scaffolds. Our results demonstrate that free energy simulations enable design of ligand efficacy and the same approach can be applied to other GPCR drug targets.

Autoregulation of GPCR signalling through the third intracellular loop.

The third intracellular loop (ICL3) of the G protein-coupled receptor (GPCR) fold is important for the signal transduction process downstream of receptor activation1-3. Despite this, the lack of a defined structure of ICL3, combined with its high sequence divergence among GPCRs, complicates characterization of its involvement in receptor signalling4. Previous studies focusing on the ß2 adrenergic receptor (ß2AR) suggest that ICL3 is involved in the structural process of receptor activation and signalling5-7. Here we derive mechanistic insights into the role of ICL3 in ß2AR signalling, observing that ICL3 autoregulates receptor activity through a dynamic conformational equilibrium between states that block or expose the receptor's G protein-binding site. We demonstrate the importance of this equilibrium for receptor pharmacology, showing that G protein-mimetic effectors bias the exposed states of ICL3 to allosterically activate the receptor. Our findings additionally reveal that ICL3 tunes signalling specificity by inhibiting receptor coupling to G protein subtypes that weakly couple to the receptor. Despite the sequence diversity of ICL3, we demonstrate that this negative G protein-selection mechanism through ICL3 extends to GPCRs across the superfamily, expanding the range of known mechanisms by which receptors mediate G protein subtype selective signalling. Furthermore, our collective findings suggest ICL3 as an allosteric site for receptor- and signalling pathway-specific ligands.

Stepwise Frontal Analysis Coupled with Affinity Chromatography: A Fast and Reliable Method for Potential Ligand Isolation and Evaluation from Mahuang-Fuzi-Xixin Decoction.

Mahuang-Fuzi-Xixin Decoction (MFXD) is widely used in the treatment of asthma, however, the functional components in the decoction targeting beta2-adrenoceptor (ß2 -AR) remain unclear. Herein, we immobilized the haloalkane dehalogenase (Halo)-tagged ß2 -AR on the 6-chlorocaproic acid-modified microspheres. Using the affinity stationary phase, the interactions of four ligands with the receptor were analyzed by stepwise frontal analysis. The association constants were (4.75±0.28)×104  M-1 for salbutamol, (2.93±0.15)×104  M-1 for terbutaline, (1.23±0.03)×104  M-1 for methoxyphenamine, (5.67±0.38)×104  M-1 for clorprenaline at high-affinity binding site, and (2.73±0.05)×103  M-1 at low-affinity binding site. These association constants showed the same rank order as the radioligand binding assay, demonstrating that immobilized ß2 -AR had capacity to screen bioactive compounds binding to the receptor while stepwise frontal analysis could predict their binding affinities. Application of the immobilized receptor in analysis of MFXD by chromatographic method revealed that ephedrine, aconifine, karakoline, and chasmanine were the bioactive compounds targeting ß2 -AR. Among them, ephedrine and chasmanine exhibited association constants of (2.94±0.02)×104 M-1 and (4.60±0.15)×104  M-1 to the receptor by stepwise frontal analysis. Molecular docking analysis demonstrated that ephedrine, chasmanine, and the other two compounds interact with ß2 -AR through the same pocket involving the key amino acids such as Asn312, Asp113, Phe289, Trp286, Tyr316, and Val114. As such, we reasoned that the four compounds dominate the therapeutic effect of MFXD against asthma through ß2 -AR mediating pathway. This work shed light on the potential of immobilized ß2 -AR for drug discovery and provided a valuable methodology for rapid screening.

Protein superglue inspired in-situ one-step site-specific immobilization of beta2-adrenoceptor and its application in bioactive compound screening from Cortex Magnoliae Officinalis.

The platforms based on immobilization of transmembrane proteins have become an effective way to study drug-protein interaction and identify new leads for drug discovery. Herein, we exploited the protein superglue (i.e. SpyTag-SpyCatcher chemistry) for site-specific, oriented, and in-situ one-step beta2-adrenoceptor (ß2-AR) immobilization. SpyCatcher was used as a fusion tag at the C-terminal of ß2-AR and the macroporous silica gels were functionalized with the SpyTag peptide. Immobilization was realized by immersing the gels into the E.coli cell lysate containing ß2-AR-SpyCatcher. Characterization of the functionalized gels was performed by X-ray photoelectron spectroscopy and fluorescence microscopy. Adsorption energy distribution calculation, injection amount dependent analysis (IADA) and nonlinear chromatographic were used for receptor-ligand interaction analysis. The affinity rank order of four ligands to the receptor was tulobuterol> chlorprenaline> salbutamol> terbutaline, which showed highly consistent with data from the radioligand binding assay and the ß2-AR column prepared by HaloTag technology. Magnolol and honokiol were screened from Cortex Magnoliae Officinalis and proved to promote the expression of the receptor in human airway smooth muscle cells. Our work unraveled the great potential to generate good bioactivity of the immobilized ß2-AR through Spy toolbox. This technology can be extended to the immobilization of other functional proteins, providing a better alternative in the field of bioanalysis, biosensing, and separation science.

Mass spectrometry captures biased signalling and allosteric modulation of a G-protein-coupled receptor.

G-protein-coupled receptors signal through cognate G proteins. Despite the widespread importance of these receptors, their regulatory mechanisms for G-protein selectivity are not fully understood. Here we present a native mass spectrometry-based approach to interrogate both biased signalling and allosteric modulation of the ß1-adrenergic receptor in response to various ligands. By simultaneously capturing the effects of ligand binding and receptor coupling to different G proteins, we probed the relative importance of specific interactions with the receptor through systematic changes in 14 ligands, including isoprenaline derivatives, full and partial agonists, and antagonists. We observed enhanced dynamics of the intracellular loop 3 in the presence of isoprenaline, which is capable of acting as a biased agonist. We also show here that endogenous zinc ions augment the binding in receptor-Gs complexes and propose a zinc ion-binding hotspot at the TM5/TM6 intracellular interface of the receptor-Gs complex. Further interrogation led us to propose a mechanism in which zinc ions facilitate a structural transition of the intermediate complex towards the stable state.

Mechanistic basis of GPCR activation explored by ensemble refinement of crystallographic structures.

G protein-coupled receptors (GPCRs) are important drug targets characterized by a canonical seven transmembrane (TM) helix architecture. Recent advances in X-ray crystallography and cryo-EM have resulted in a wealth of GPCR structures that have been used in drug design and formed the basis for mechanistic activation hypotheses. Here, ensemble refinement (ER) of crystallographic structures is applied to explore the impact of binding of agonists and antagonist/inverse agonists to selected structures of cannabinoid receptor 1 (CB1R), ß2 adrenergic receptor (ß2 AR), and A2A adenosine receptor (A2A AR). To assess the conformational flexibility and its role in GPCR activation, hydrogen bond (H-bond) networks are analyzed by calculating and comparing H-bond propensities. Mapping pairwise propensity differences between agonist- and inverse agonist/antagonist-bound structures for CB1R and ß2 AR shows that agonist binding destabilizes H-bonds in the intracellular parts of TM 5-7, forming the G protein binding cavity, while H-bonds of the extracellular segment of TMs surrounding the orthosteric site are conversely stabilized. Certain class A GPCRs, for example, A2A AR, bind an allosteric sodium ion that negatively modulates agonist binding. The impact of sodium-excluding mutants (D522.50 N, S913.39 A) of A2A AR on agonist binding is examined by applying ER analysis to structures of wildtype and the two mutants in complex with a full agonist. While S913.39 A exhibits normal activity, D522.50 N quenches the downstream signaling. The mainchain H-bond pattern of the latter is stabilized in the intracellular part of TM 7 containing the NPxxY motif, indicating that an induced rigidity of the mutation prevents conformational selection of G proteins resulting in receptor inactivation.

Combined docking and machine learning identify key molecular determinants of ligand pharmacological activity on ß2 adrenoceptor.

G protein-coupled receptors (GPCRs) are valuable therapeutic targets for many diseases. A central question of GPCR drug discovery is to understand what determines the agonism or antagonism of ligands that bind them. Ligands exert their action via the interactions in the ligand binding pocket. We hypothesized that there is a common set of receptor interactions made by ligands of diverse structures that mediate their action and that among a large dataset of different ligands, the functionally important interactions will be over-represented. We computationally docked ~2700 known ß2AR ligands to multiple ß2AR structures, generating ca 75 000 docking poses and predicted all atomic interactions between the receptor and the ligand. We used machine learning (ML) techniques to identify specific interactions that correlate with the agonist or antagonist activity of these ligands. We demonstrate with the application of ML methods that it is possible to identify the key interactions associated with agonism or antagonism of ligands. The most representative interactions for agonist ligands involve K972.68×67 , F194ECL2 , S2035.42×43 , S2045.43×44 , S2075.46×641 , H2966.58×58 , and K3057.32×31 . Meanwhile, the antagonist ligands made interactions with W2866.48×48 and Y3167.43×42 , both residues considered to be important in GPCR activation. The interpretation of ML analysis in human understandable form allowed us to construct an exquisitely detailed structure-activity relationship that identifies small changes to the ligands that invert their pharmacological activity and thus helps to guide the drug discovery process. This approach can be readily applied to any drug target.

Toxic Effect of Fullerene and Its Derivatives upon the Transmembrane ß2-Adrenergic Receptors.

Numerous experiments have revealed that fullerene (C60) and its derivatives can bind to proteins and affect their biological functions. In this study, we explored the interaction between fullerine and the ß2-adrenergic receptor (ß2AR). The MD simulation results show that fullerene binds with the extracellular loop 2 (ECL2) and intracellular loop 2 (ICL2) of ß2AR through hydrophobic interactions and π-π stacking interactions. In the C60_in1 trajectory, due to the π-π stacking interactions of fullerene molecules with PHE and PRO residues on ICL2, ICL2 completely flipped towards the fullerene direction and the fullerene moved slowly into the lipid membrane. When five fullerene molecules were placed on the extracellular side, they preferred to stack into a stable fullerene cluster (a deformed tetrahedral aggregate), and had almost no effect on the structure of ß2AR. The hydroxyl groups of fullerene derivatives (C60(OH)X, X represents the number of hydroxyl groups, X = 4, 8) can form strong hydrogen bonds with the ECL2, helix6, and helix7 of ß2AR. The hydroxyl groups firmly grasp the ß2AR receptor like several claws, blocking the binding entry of ligands. The simulation results show that fullerene and fullerene derivatives may have a significant effect on the local structure of ß2AR, especially the distortion of helix4, but bring about no great changes within the overall structure. It was found that C60 did not compete with ligands for binding sites, but blocked the ligands' entry into the pocket channel. All the above observations suggest that fullerene and its derivatives exhibit certain cytotoxicity.

Development of immobilized beta1-adrenoceptor chromatography for rapid discovery of ligands specifically binding to the receptor from herbal extract.

The discovery of beta1-adrenoceptor (ß1-AR) ligands is viewed as an enormous demand for fighting ailments mediated by the receptor including cardiovascular diseases. Such pursuit is gravely challenged due to the lack of lead screening methods with high efficiency. This work developed a chromatographic method for pursuing ß1-AR ligand from the herbal extract by fusing epidermal growth factor receptor (EGFR) as a tag at its C-terminus to stably express the fusion receptor in E. coli, immobilizing the expressed EGFR-tagged ß1-AR onto ibrutinib-derivatized amino microspheres, and applying the immobilized receptor in the analysis of ligand-receptor interaction and herbal extract. Comprehensive characterizations like X-ray photoelectron spectroscopy and retention behaviors of canonical drugs demonstrated high specificity and good stability of the immobilized ß1-AR prepared through the covalent reaction between the EGFR and ibrutinib decorated on the microsphere surface. Frontal analysis of atenolol, metoprolol, and esmolol confirmed their bindings to ß1-AR with association constants of 1.07 × 104, 6.54 × 103, and 1.45 × 104 M-1. The thermodynamic analysis provided proof of electrostatic interaction, hydrogen bonds, and van der Waals force driving those interactions. Pulegone was recognized as a bioactive compound that specifically binding to ß1-AR from the extract of Ziziphora clinopodioides Lam by analyzing the retention peak through reverse-phase high performance liquid chromatography coupled with tandem mass spectrometry. These results, taken together, indicated that the current method is possible to provide an alternative for discovering ß1-AR ligands with high efficiency from complex matrices like herbal extract.

Computational characterization of transducer recognition of ß2 adrenergic receptor.

As an important drug target, ß2 adrenergic receptor (B2AR) regulates many physiological processes, including cardiac function, airway tone and metabolic functions. The selective coupling between B2AR and specific transducers is critical for the physiological action of the receptor. However, the molecular mechanism by which B2AR recognizes different transducers remains elusive. Here, molecular dynamics simulations of B2AR binding to three functionally important transducers (Gs, Gi and ß-arrestin 1) unveiled distinct binding modes of the receptor. Involving transmembrane helices TMs 2-7 and intracellular loops ICLs 2-3, different binding interfaces for Gs and ß-arrestin 1 were identified in the simulation models and further validated by various assays. The distinct recognition mode of B2AR for Gi was computationally characterized. Insights into receptor-transducer communication not only enhance our understanding of signaling bias, but also offer hints for rational drug design targeting specific signaling pathways of G-protein coupled receptors (GPCRs).

Phenylalanine 193 in Extracellular Loop 2 of the ß 2-Adrenergic Receptor Coordinates ß-Arrestin Interaction.

G protein-coupled receptors (GPCRs) transduce a diverse variety of extracellular stimuli into intracellular signaling. These receptors are the most clinically productive drug targets at present. Despite decades of research on the signaling consequences of molecule-receptor interactions, conformational components of receptor-effector interactions remain incompletely described. The ß 2-adrenergic receptor (ß 2AR) is a prototypical and extensively studied GPCR that can provide insight into this aspect of GPCR signaling thanks to robust structural data and rich pharmacopeia. Using bioluminescence resonance energy transfer -based biosensors, second messenger assays, and biochemical techniques, we characterize the properties of ß 2AR-F193A. This single point mutation in extracellular loop 2 of the ß 2AR is sufficient to intrinsically bias the ß 2AR away from ß-arrestin interaction and demonstrates altered regulatory outcomes downstream of this functional selectivity. This study highlights the importance of extracellular control of intracellular response to stimuli and suggests a previously undescribed role for the extracellular loops of the receptor and the extracellular pocket formed by transmembrane domains 2, 3, and 7 in GPCR regulation that may contribute to biased signaling at GPCRs. SIGNIFICANCE STATEMENT: The role of extracellular G protein-coupled receptor (GPCR) domains in mediating intracellular interactions is poorly understood. We characterized the effects of extracellular loop mutations on agonist-promoted interactions of GPCRs with G protein and ß-arrestin. Our studies reveal that F193 in extracellular loop 2 in the ß2-adrenergic receptor mediates interactions with G protein and ß-arrestin with a biased loss of ß-arrestin binding. These results provide new insights on the role of the extracellular domain in differentially modulating intracellular interactions with GPCRs.