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Published in final edited form as: Curr Opin Biotechnol. 2024 May 9;87:103138. doi: 10.1016/j.copbio.2024.103138

Technologies for the discovery of G protein-coupled receptor-targeting biologics

McKenna L Downey 1, Pamela Peralta-Yahya 1,2,*
PMCID: PMC11250939  NIHMSID: NIHMS1994666  PMID: 38728825

Abstract

G protein-coupled receptors (GPCRs) are important pharmaceutical targets, working as entry points for signaling pathways involved in metabolic, neurological and cardiovascular diseases. Although small molecules remain the major GPCR drug type, biologic therapeutics, i.e. peptides and antibodies, are increasingly found among clinical trials and FDA approved drugs. Here, we review state-of-the-art technologies for the engineering of biologics that target GPCRs as well as proof-of principle technologies that are ripe for this application. Looking ahead, inexpensive DNA synthesis will enable the routine generation of computationally pre-designed libraries for use in display assays for the rapid discovery of GPCR binders. Advances in synthetic biology are enabling the increased throughput of functional GPCR assays to the point that they can be used to directly identify biologics that modulate GPCR activity. Finally, we give an overview of adjacent technologies that are ripe for application to discover biologics that target human GPCRs.

INTRODUCTION

G-protein coupled receptors (GPCRs) play an important role in many biological functions, including metabolism, blood sugar regulation, and immunity1. Thus, GPCRs are a key pharmacological target with > 30% of FDA approved drugs on the market2. Although small molecules remain the major GPCR drug type, encompassing 88% of the FDA approved drugs in 20183, biologic therapeutics have steadily gained ground. Biologics, such as peptides, antibodies and mRNA, provide higher affinity and specificity as well as fewer off-target effects than small molecule drugs. Indeed, six of the top ten drugs by sales in 2022 were biologics4. Among GPCRs, between 2017 and 2020, 27% of drug candidates in clinical trials targeted Class A GPCRs- the receptors most targeted due to their wide physiological function- were peptides5.

GPCRs that naturally bind peptide hormones, i.e. peptide GPCRs, are involved in muscle contraction, appetite control, and digestion6, and are associated with diabetes, asthma, cardiovascular, rheumatoid arthritis and cancer2. Humans code for 91 peptide GPCRs, 76 rhodopsin-like Class A GPCRs and 15 secretin-like Class B GPCRs7 (Figure 1). As of 2020, 48 Class A GPCRs and 14 Class B GPCRs are targeted by 137 FDA approved drugs. Although the number of drugs targeting peptide GPCRs is increasing, the majority of them target the same diseases or conditions previously targeted by other drugs (Table 1). To date,19 druggable peptide GPCRs remain orphan, i.e. with no known ligand. Such is the case for adenylate cyclase-activating polypeptide type I receptor (PACR), which plays an important role in neurotransmission, learning and memory8, making it a key target for Alzheimer's, Parkinson’s and Huntington’s Disease. Further, there are whole peptide GPCR families that remain orphan, such as the Bombesin and Galanin receptors.

Figure 1.

Figure 1.

Peptide GPCRs by class and drugs that target them. A. Class A peptide GPCRs. B. Class B peptide GPCRs. Information for the graphs was obtained from GPCRdb7.

Table 1.

FDA-approved biologic therapeutics targeting peptide GPCRs approved from 2020-2023

Year approved
Category Condition GPCR 2020 2021 2022 2023
Cancer Prostate cancer Gonadotropin Releasing Hormone Receptor 1 Relugolix
Diagnosis Diagnosis Agent Somatostatin Receptor 2 64CU oxodotreotide
Endocrine Menopause hot flashes Tachykinin Receptor 3 Fezolinetant
Obesity Melanocortin 4 Receptor Setmelanotide
Severe Hypoglycemia Glucagon Receptor Desiglucagon
Type 2 Diabetes Glucagon-like peptide-1 receptor Tirzepatide
Glucose-dependent insulinotropic polypeptide receptor Tirzepatide
Neurologic Episodic Migraine Calcitonin gene-related Peptide receptor Atogepant
Insomnia Orexin 1 receptor Daridorexant
Orexin 2 receptor Daridorexant
Migraine Calcitonin gene-related peptide receptor Rimegepant
Renal Hepatorenal syndrome Vasopressin 1 Receptor Terlipressin
Primary immunoglobulin A nepheopathy Angiotensin Receptor 1 Sparsentan
Endothelien Receptor A Sparsentan
Priuritus from Chronic Kidney Disease Kappa-Opioid Receptor Diflikefalin

Peptide hormones produced by endocrine and neuronal tissues activate peptide GPCRs1. Endogenous peptide hormones, such as vasopressin, a blood pressure regulator, and oxytocin, a uterine contraction stimulant, have been used as therapeutics since the 1950s9. The poor pharmacokinetics of peptides10, including short half-life, rapid clearance, and low gastrointestinal stability requiring injection for administration, led to the development of small molecules to target peptide GPCRs since the 1970s, including oxycodone to target opioid receptors11. Starting in the mid-1980s, synthetic peptides started to be used to target GPCRs, such as Leupolide, a synthetic 9-residue peptide analogue of gonadotropin releasing hormone12. Indeed, peptides’ low toxicity, high affinity, selectivity and potency often make them the only or front line of treatment. Peptide modification strategies, such as introduction of N-terminal acetylation or methylation, peptide cyclization and stapling, peptide display on a stabilized scaffold, and use of unnatural and β-amino acids have been successful at improving the pharmacokinetics of peptide drugs1.

Sidestepping the challenges faced by peptides, antibodies have been engineered to target GPCRs. By 2023, the FDA had approved four GPCR-targeting antibodies: dulaglutide (diabetes), erenumab (migraine), mogamulizumab (oncology) and talquetamab (oncology). The large size of antibodies often precludes them from binding the GPCR’s orthosteric site buried within the transmembrane domains. Antibodies that target GPCRs often exert their activity by: 1) binding the large extracellular N-terminal domain present in some GPCRs13, such as in Class B GPCRs (erenumab) and CC chemokine receptors (mogamulizumab), 2) stabilizing a known peptide agonist14 (dulaglutide), 3) triggering antibody dependent cellular toxicity15 (mogamulizumab) or 4) bringing together receptors on different cells16 (talquetamab). Key challenges in engineering antibodies against GPCRs include, their conformational flexibility and their short extracellular loops, especially in Class A GPCRs, which limit antibody engagement.

Here, we review the literature for state-of-the-art technologies that have either been used to engineer biologics to target GPCRs or are ripe to be adapted for this application. Specifically, we focus on biologics that bind GPCRs on the extracellular side, and thus can serve as therapeutics. The now standard GPCR small molecule drug discovery pipeline that relies on virtual docking of millions of compounds on a GPCR structure followed by functional GPCR assays17 may not be easily translatable to the discovery of biologics. Biologics have greater degrees of freedom than small molecules, and there is a more limited number of structures of GPCRs bound to biologics. Therefore, in this review, we focus on approaches to engineering biologics that target GPCRs that are, at their core, experimental. We find that discovery of biologics that modulate GPCRs is a nascent field, with most of the literature still at the proof-of-principle assay development stage. However, the ease and inexpensiveness of coding for and synthesizing libraries of biologics when compared to small molecule libraries, and the large throughput enabled by screens and selections of functional GPCR-based assays, point towards biologics becoming the future of GPCR therapies.

STATE-OF-THE-ART TECHNOLOGIES FOR THE DISCOVERY OF BIOLOGICS THAT TARGET GPCRS

Animal immunization for GPCR antibody discovery.

Animal immunization followed by hybridoma or phage display screening is the most widely used methodology to identify antibodies against GPCRs18. The multipass membrane protein nature of GPCRs coupled with their conformational flexibility, their buried orthosteric site, and their short extracellular loops makes it challenging to generate effective antigens to raise anti-GPCR antibodies. Some of the antigen presenting strategies applied to GPCRs include 1) fusing a GPCR extracellular region to a soluble carrier protein, 2) using membrane fractions expressing GPCRs, 3) in vivo electroporation of DNA coding for GPCRs, and 4) GPCRs embedded in nanodisks18. Because the antibodies are only searched for GPCR binding, they often do not show modulation of GPCR activity, i.e. agonism or antagonism. Nevertheless, these highly specific binders are an excellent starting point for the generation of antibody drug conjugates, in particular for cancer applications19.

Binding assays for the discovery of biologics that target GPCRs.

Display technologies including phage, yeast and ribosome display are widely used to engineer biologics20. High-throughput display technologies are used as a first step in the identification of GPCR antibody binders, which are subsequently assayed for modulation of GPCR activity in functional assays. In one of the most recent examples, in 2021, Liu et al. used a phage-displayed library to identify GLP1-R agonists for blood glucose regulation. A 1010 GPCR-focused antibody library was generated by leveraging GPCR binding motifs found among known GPCR ligand interactions, including protein/peptide ligands, peptide mimetic, and GPCR N-terminal extracellular domains/loops21. Phages were panned against mammalian cells expressing fluorescently-tagged GLP1-R (Figure 2A). After five rounds of panning, 100 isolated antibody sequences were expressed in mammalian cells and evaluated for GLP1-R binding. Although none of the 13 sequences that showed specific GLP-1R binding were agonists, eight of them were GLP1-R antagonists. Interestingly, two of the antagonist sequences had GPCR binding motifs not previously identified in nature. The low cost of DNA synthesis allowed the generation of 100% computationally pre-designed library, unlike DNA mutagenesis strategies for protein library generation that result in a portion of the library being superfluous. Although only a single antibody was thoroughly characterized, based on the quality of the antibody library and next generation sequencing analysis performed after each panning round, further data analysis may reveal additional novel GPCR binding motifs and shed light into GPCR antibody evolution. Identification of GPCR binding motifs not previously observed in nature could be used to uncover overlooked endogenous peptides that may interact with GLP1-R.

Figure 2.

Figure 2.

High-throughput assays for the identification of biologics that target GPCRs. Left: binding assays. A. Phage-displayed antibody library panned against fluorescently labelled GPCR expressed in mammalian cells21. B. Yeast-displayed nanobody library screened against GPCR expressed in mammalian cells carrying an intracellular dye22. C. Yeast-displayed nanobody library outcompetes low affinity agonist bound to a solubilized GPCR23. Right: functional assays. D. Mammalian cell co-expresses a nanobody library and a GPCR on the cell surface. Activation of the GPCR is linked to β-arrestin recruitment and ultimately reporter gene expression27. E. Yeast cell and mammalian cell are encapsulated in a droplet. The yeast cell secretes a peptide to the medium. The peptide binds a GPCR on the mammalian cell surface, which upon activation results in reporter gene expression29.

The size of yeast cell surface-displayed protein libraries are smaller than phage-displayed libraries due to limitations in the transformation efficiency of DNA into yeast. Nevertheless, yeast is amenable to fluorescent activated cell sorting (FACS), thus enabling the separation of biologics that bind GPCRs based on affinity rather than relying in washing steps, as it is the case with phage-displayed protein libraries. In 2023, Krohl et al. displayed in yeast a c-myc labelled nanobody library and used it to identify binders for GPCRs expressed on the surface of mammalian cells carrying a Celltrace intracellular dye (Figure 2B) 22. Nanobody-GPCR interactions are identified by co-incubating yeast and mammalian cells followed by labelling of the nanobodies with a fluorescent anti-myc antibody. Successful nanobody-GPCR interactions resulted in yeast-mammalian complexes that showed both Celltrace and anti-myc antibody fluorescence. Key to the success of this strategy was the use biopanning, i.e. incubation of the yeast-displayed nanobody library with an adherent monolayer of target-null mammalian cells, to remove non-specific binders prior to positive selection with magnetic activated cell sorting (MACS) and FACS. Using this technology, Krohl and coworkers identified nanobodies able to bind four GPCRs: chemokine receptors 2 and 4 (CXCR2, CXCR4), GLP1-R, and the glucagon receptor. The nanobody against CXCR2 displaced its cognate chemokine, IL-8, while the nanobodies identified for the other three GPCRs had dissociation constants in the low nM range. Although the nanobodies were not assessed for their ability to modulate GPCR activity, this is a rapid and generalizable technology to identify GPCR binders.

Yeast-displayed libraries have also been used in conjunction with solubilized GPCRs to identify GPCR antagonists. In 2020, McMahon et al. used a yeast-displayed nanobody library to identify antagonists to angiotensin II type 1 receptor (AT1R), to control hypertension23. First, the nanobody library was incubated with solubilized AT1R to enrich for intracellular and extracellular AT1R binders using MACS. Next, enrich for antibodies that bound to the extracellular side of AT1R, the nanobody library was incubated with solubilized AT1R and known high and low affinity AT1R ligands. The high and low affinity ligand were labelled with two different fluorophores. Nanobodies that successfully displaced the low affinity ligand, but not the high affinity ligand could be identified via FACS (Figure 2C). After two rounds of MACS and one round of FACS, two AT1R antagonists were identified. Error prone PCR of the best AT1R antagonist followed by two additional rounds of FACS resulted in an antagonist able to reduce hypertension in mice. The fluorescent probe displacement strategy should be generalizable for the identification of biologics that modulate GPCRs as long as the targeted GPCR already has known low and high affinity ligands.

Functional assays for the discovery of biologics that modulate GPCR activity.

Most experimental approaches to discovering biologics that modulate GPCR activity have relied on binding assays to first identify GPCR binders followed by functional assays to determine their ability to modulate GPCR transduction24. GPCR binding assays, however, often identify biologics that do not bind at the correct site (neutral binders) or block access to the orthosteric site (blockers) rather than engaging with the orthosteric site to modulate GPCR activity (agonism/antagonism) 23,25,26. The throughput of GPCR functional assays has increased over the last couple of years, and functional assays are starting to be used as the first step in the identification of biologics that modulate GPCR activity.

In 2020, Ren et al. displayed an apelin receptor (APJ) camelid immune nanobody library on the cell surface of a Tango β-arrestin reporter mammalian cell that also expressed APJ on the cell surface (Figure 2D)27. In this assay, nanobody activation of APJ results in β-arrestin recruitment and ultimate expression of the lacZ gene coding for β-galacosidase that converts a substrate (530nM) into a product (460nM), both of them retained inside the cell and trackable via FACS28. To search for APJ antagonists, cells were sorted for high substrate/low product intensities. After three rounds of sorting, several antagonists were identified, with a higher percentage of antagonists among the hits compared to a solely phage displayed driven screen26. To search for agonists, cells were sorted for high product/low substrate intensity. After three rounds of sorting, one agonist was identified, which was validated using a Gαs activation assay and a GPCR internalization assays. Of note, as the DNA transformation efficiency limits the library size achievable in mammalian cells (~106), prior to the functional assay, the nanobody library was enriched for APJ binders using a phage displayed panning step. This panning step likely biased the nanobody library as it may have removed agonists with weaker binding affinity. The authors observed that constitutive expression of APJ agonists led to gene loss and apoptosis, thus, inducible nanobody or GPCR expression may increase the number of agonists identified. Finally, the use of β-arrestin recruitment for GPCR activation detection makes this a general technology to identify modulators of GPCR activity.

Cell display technologies restrict the conformations biologics can attain, thus limiting their evaluation as modulators of GPCR activity. To address this challenge, in 2019, Yaginuma et al. used droplet microfluidics to co-culture 1) Saccharomyces cerevisiae secreting variants of the known GLP1-R peptide agonist Exendin-4, and 2) mammalian cells expressing GLP1-R and engineered to link GLP1-R activation to lacZ expression (Figure 2E)29. Despite a small library size (~1,000 members), the assay identified one peptide variant resulting in a 40% increase in GLP1-R signal after activation. Importantly, co-culturing yeast and mammalian cells did not result in significant toxicity. Although Yaginuma and coworkers did not capitalize on the ultrahigh-throughput capabilities afforded by droplet microfluidics coupled to FACS (5,000 droplets/second30), in the future, this technology may enable the search of much larger peptide libraries. Mathematical modeling of droplet parameters, including droplet size and the number of yeast cells encapsulated per droplet, is needed to isolate peptides with the desired EC50. Investigating the effect of yeast:mammalian cell encapsulation ratio will also improve the utility of the system. On the experimental side, swapping the LacZ reporter system with a fluorescent reported with higher quantum yield may allow for better differentiation among peptide hits.

FUTURE TECHNOLOGIES FOR THE DISCOVERY OF BIOLOGICS THAT TARGET GPCRS

Functional assays for the discovery of biologics that modulate GPCR in model organisms.

To date, only functional assays in mammalian cells have been used to identify biologics that target GPCRs. GPCR-based assays in S. cerevisiae offer an interesting alternative as yeast has a shorter doubling time (1.5 hrs vs. 24 hrs), codes for only two GPCRs rather ~100 in mammalian cells, and functionally expresses human GPCRs (hGPCRs) on the cell surface; further, GPCR activation has been successfully coupled to the yeast machinery to control reporter gene expression31,32. Briefly, upon hGPCR activation on the yeast cell surface, Gα dissociates from Gβγ, which triggers the activation of the mating pathway, ultimately resulting in reporter gene expression. Yeast-based GPCR functional assays have been applied to the discovery of small molecule GPCR agonists (serotonin receptor 433, hydroxycarboxylic acid receptor 334, and the cannabinoid receptor35) and antagonist (histamine receptor 236).

Application of yeast-based GPCR functional assays to the discovery of biologics is a nascent area. In 2020, Rowe et al. co-expressed somastatin receptor 5 (SSTR5) in the yeast membrane and its peptide agonist (SRIF-14) trapped in the yeast cell wall pointing towards SSTR5 (Figure 3A) 37. First, Rowe and colleagues augmented a yeast GPCR functional assay by replacing the yeast Gα, GPA1, with yeast/human Gα chimeras where the last five amino acids of GPA1 were replaced with those of 10 different human Gαs. As a proof-of-principle, the GPCR/trapped peptide system was used to determine that SSTR5 preferentially interacts with the GPA1/hGα15 chimera. In the future, this technology could be used to express a peptide library (>106) and evaluate its effectiveness to modulate GPCR activity. Of note, yeast-expressed hGPCRs do not have mammalian posttranslational modifications, such as proper glycosylation or phosphorylation. Thus, it is possible that biologics that modulate hGPCR activity in yeast will not result in hGPCR modulation when expressed in mammalian cells. Therefore, secondary assays in mammalian cells, ideally in the appropriate cell line, leading to the appropriate second messenger changes, are needed to corroborate the ligands’ effectiveness. To date, small molecule ligands identified via yeast assays have translated well to GPCR activation in mammalian cells33-36. The ease of work and speed achievable in yeast assays versus their mammalian counterparts makes yeast a compelling platform for the future identification of peptide agonists for GPCRs.

Figure 3.

Figure 3.

Future technologies for the discovery of biologics that target GPCRs. A. Yeast expresses and traps a peptide on the cell wall pointing towards the membrane. A GPCR is expressed on the yeast membrane and upon activation by the peptide triggers fluorescent reporter expression37. B. Yeast is engineered to secrete a peptide that activates a GPCR expressed on a different yeast38. C. Cell-free protein expression system (CFPS) produces peptides that can be attached to a bead and evaluated for protein binding40.

Yeast has a carbohydrate-rich cell wall, yet small peptides (~13 amino acids) can penetrate that wall and be secreted from the cell. Indeed, in the fungal world, peptides work as pheromones, binding GPCRs to initiate mating. Therefore, engineering yeast to both secrete a peptide and detect it via a GPCR functional assay is a potentially viable strategy to identify peptides that modulate hGPCR. In proof-of-principle work using fungal GPCRs and their cognate peptides, Billerbeck et al demonstrated that S. cerevisiae can secrete and detect eight orthogonal fungal GPCR-peptide pairs (Figure 3B)38. Further, using exogenous synthetic peptides, the authors showed that GPCR activation can be modulated by peptide sequence. Although applied to fungal GPCR-peptide pairs, as hGPCRs are functionally expressed in S. cerevisiae, the secreted peptide-GPCR activation workflow coul be adapted, in the future, to secrete peptide libraries and evaluate their activity against hGPCRs.

Technologies for the rapid synthesis of biologics.

A technology that has not yet been applied to the discovery of biologics that target GPCRs, yet may be ripe for this application, is the use of cell-free protein synthesis (CFPS) for biologics synthesis. Briefly, in CFPS, the non-living unpurified bacteria transcription/translation cell machinery is used for gene expression. A key advantage of CFPS for the synthesis of biologics is the lack of cell membrane39, which reduces the downstream processing steps necessary for biologics purification. In CFPS, biologics purification can be as simple as adding labeled magnetic beads to the reaction mixture and using magnets to separate the biologics. In 2023, Thames et al. leveraged CFPS for the synthesis of thirteen protein allergens (Figure 3C)40. One of the purified allergens, dust mite allergen, was detected by monoclonal antibodies that recognized the allergen in a bead-based Elisa assay. Importantly, the purified allergen was used in a mammalian-based assay and showed to trigger degranulation of mast cells. Although purified from an E. coli-derived CFPS, the endotoxin levels in the purified allergen were below the FDA limit. In the future, bacterial CFPS could provide an inexpensive and automatable route for the synthesis of biologics that can be purified en masse and then evaluated in functional GPCR assays.

OUTLOOK

The conformational flexibility of GPCRs, their short extracellular loops, and the fact that the orthosteric site is buried within their transmembrane region makes it difficult to identify biologics that modulate this medically important receptor class. Reduction in the cost of DNA synthesis allows the production of computationally pre-designed libraries. Towards discovering biologics that modulate GPCR activity, display assays are being applied to debulk the biologics library, while high-throughput GPCR functional assays now allow to evaluate larger libraries of biologics for GPCR modulation. In the future, the ability of cells to both encode a biologics library and a GPCR function assay may move the field from high-throughput screening to the directed evolution of biologics that target GPCRs.

Going forward, the higher throughput, ease of work, and reduced cost of GPCR functional assays in S. cerevisiae will open the door to evaluate biologics against known medically relevant GPCRs as well as understudied and even orphan GPCRs. Because orphan GPCRs have no known ligands, binding and functional assays may be more difficult to implement due to the lack of known GPCR ligands to use as controls. The high-risk, high-reward nature of identifying agonists for orphan GPCRs may be the ideal application for functional GPCR assays in S. cerevisiae. At a minimum, functional assays in model organisms should reduce the search space to be performed in mammalian cells. In the best-case scenario, the ligands identified in the model organisms may be translatable in mammalian cells assays and mice.

Highlights.

  • Biologics are increasingly found among clinical trials and FDA approved drugs targeting GPCRs.

  • Biologics that modulate GPCR's activity are difficult to discover due to GPCRs' buried orthosteric site.

  • GPCR functional assays allow for direct identification of biologics that modulate GPCR activity.

  • Co-encoding GPCR functional assays and biologics libraries foresees the evolution of GPCR-targeting biologics.

Acknowledgements

This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health, under award number R35GM124871. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We thank Lily Gao for help with Table 1. Figures 2 and 3 were made using Biorender.

Footnotes

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Declaration of Competing Interests

Nothing declared

Credit Author Statement

M. L. D. and P.P-Y conceptualize and wrote this review.

Conflict of Interest

The authors declare no conflict of interests.

Data Availability

No data were used for the research described in the article

REFERENCES

Papers of particular interet, publishe within the perio of review, have been highlighted as:

* of special interest

** of outstanding interest

  • 1.Muttenthaler M, King GF, Adams DJ & Alewood PF Trends in peptide drug discovery. Nat Rev Drug Discov 2021, 20, 309–325. [DOI] [PubMed] [Google Scholar]
  • 2.Hauser AS, Attwood MM, Rask-Andersen M, Schioth HB & Gloriam DE Trends in GPCR drug discovery: new agents, targets and indications. Nat Rev Drug Discov 2017, 16, 829–842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sriram K & Insel PA G Protein-Coupled Receptors as Targets for Approved Drugs: How Many Targets and How Many Drugs? Mol Pharmacol 2018, 93, 251–258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Urquhart L. Top companies and drugs by sales in 2022. Nat Rev Drug Discov 2023, 22, 260. [DOI] [PubMed] [Google Scholar]
  • 5.Yang D. et al. G protein-coupled receptors: structure- and function-based drug discovery. Signal Transduct Target Ther 2021, 6, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wu F, Song G, de Graaf C & Stevens RC Structure and Function of Peptide-Binding G Protein-Coupled Receptors. J Mol Biol 2017, 429, 2726–2745. [DOI] [PubMed] [Google Scholar]
  • 7.Pandy-Szekeres G. et al. GPCRdb in 2018: Adding GPCR structure models and ligands. Nucleic Acids Res 2018, 46, D440–D446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Soles-Tarres I, Cabezas-Llobet N, Vaudry D & Xifro X Protective Effects of Pituitary Adenylate Cyclase-Activating Polypeptide and Vasoactive Intestinal Peptide Against Cognitive Decline in Neurodegenerative Diseases. Front Cell Neurosci 2020, 14: 221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Davenport AP, Scully CCG, de Graaf C, Brown AJH & Maguire JJ Advances in therapeutic peptides targeting G protein-coupled receptors. Nat Rev Drug Discov 2020, 19, 389–413. [DOI] [PubMed] [Google Scholar]
  • 10.Lau JL & Dunn MK Therapeutic peptides: Historical perspectives, current development trends, and future directions. Bioorg Med Chem 2018, 26, 2700–2707. [DOI] [PubMed] [Google Scholar]
  • 11.National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Sciences Policy; Committee on Pain Management and Regulatory Strategies to Address Prescription Opioid Abuse; Phillips JK, Ford MA, Bonnie RJ, editors. Pain Management and the Opioid Epidemic: Balancing Societal and Individual Benefits and Risks of Prescription Opioid Use. Washington (DC): National Academies Press (US); 2017. Jul 13. 6, Opioid Approval and Monitoring by the U.S. Food and Drug Administration. Available from: https://www.ncbi.nlm.nih.gov/books/NBK458654/ [PubMed] [Google Scholar]
  • 12.Knox C, et al. DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Res. 2024, 52 (D1):D1265–D1275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mullard A. FDA approves second GPCR-targeted antibody. Nat Rev Drug Discov 2018, 17, 613. [DOI] [PubMed] [Google Scholar]
  • 14.Glaesner W. et al. Engineering and characterization of the long-acting glucagon-like peptide-1 analogue LY2189265, an Fc fusion protein. Diabetes Metab Res Rev 2010, 26, 287–296. [DOI] [PubMed] [Google Scholar]
  • 15.Van Damme H. et al. Therapeutic depletion of CCR8(+) tumor-infiltrating regulatory T cells elicits antitumor immunity and synergizes with anti-PD-1 therapy. J Immunother Cancer 2021, 9 (2): e001749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Subramaniam JM, Whiteside G, McKeage K & Croxtall JC Mogamulizumab: first global approval. Drugs 2012, 72, 1293–1298. [DOI] [PubMed] [Google Scholar]
  • 17.Bender BJ et al. A practical guide to large-scale docking. Nat Protoc 2021, 16, 4799–4832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ju MS & Jung ST Antigen Design for Successful Isolation of Highly Challenging Therapeutic Anti-GPCR Antibodies. Int J Mol Sci 2020, 21 (21), 8240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.High P & Carmon KS G protein-coupled receptor-targeting antibody-drug conjugates: Current status and future directions. Cancer Lett 2023, 564: 216191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jaroszewicz W, Morcinek-Orlowska J, Pierzynowska K, Gaffke L & Wegrzyn G Phage display and other peptide display technologies. Fems Microbiol Rev 2022, 46, fuab052. [DOI] [PubMed] [Google Scholar]
  • 21. **. Liu Q. et al. Functional GLP-1R antibodies identified from a synthetic GPCR-focused library demonstrate potent blood glucose control. MAbs 2021, 13, 1893425. A phage-displayed antibody library was panned against fluorescently labelled GLP-1R expressed in mammalian cells resulting in the identification of eight GLP-1R antagonists. The antibody library was computationally pre-designed and synthesize to only contain GPCR binding motifs.
  • 22. **. Krohl PJ et al. Discovery of antibodies targeting multipass transmembrane proteins using a suspension cell-based evolutionary approach. Cell Rep Methods 2023, 3, 100429. A dual organism system was developed that relied on fluorescently labelling the mammalian cell expressing the GPCR and the nanobody library displayed on the yeast cell. The yeast-displayed nanobody library was screened against four different GPCRs expressed on the mammalian cell surface, resulting in the identification of nanobody binders in the nM range.
  • 23. **. McMahon C. et al. Synthetic nanobodies as angiotensin receptor blockers. Proc Natl Acad Sci USA 2020, 117, 20284–20291. A nanobody-GPCR binding assay was developed that relied on the displacement of a fluorescently labelled low affinity ligand. Using this assay, a yeast-displayed nanobody library was screened against AT1R resulting in the identification of AT1R antagonists.
  • 24.Sakamoto K, Koyama R, Kamada Y, Miwa M & Tani A Discovery of artificial VIPR2-antagonist peptides possessing receptor- and ligand-selectivity. Biochem Biophys Res Commun 2018, 503, 1973–1979. [DOI] [PubMed] [Google Scholar]
  • 25.Ravn P. et al. Structural and Pharmacological Characterization of Novel Potent and Selective Monoclonal Antibody Antagonists of Glucose-dependent Insulinotropic Polypeptide Receptor. J Biol Chem 2013, 288, 19760–19772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ma YB et al. Structure-guided discovery of a single-domain antibody agonist against human apelin receptor. Sci Adv 2020, 6(3):eaax7379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. **. Ren HH et al. Function-based high-throughput screening for antibody antagonists and agonists against G protein-coupled receptors. Communications Biology 2020, 3 (1):146. A GPCR β-arrestin recruitment assay is used to directly screen nanobodies displayed on the same mammalian cell surface for GPCR activation. The assay resulted in the identification of one nanobody agonist against the apelin receptor.
  • 28.Kunapuli P. et al. Development of an intact cell reporter gene beta-lactamase assay for G protein-coupled receptors for high-throughput screening. Anal Biochem 2003, 314, 16–29. [DOI] [PubMed] [Google Scholar]
  • 29. **. Yaginuma K. et al. High-throughput identification of peptide agonists against GPCRs by co-culture of mammalian reporter cells and peptide-secreting yeast cells using droplet microfluidics. Sci Rep 2019, 9(1):10920. Droplets are used to co-culture yeast secreting a peptide library and mammalian cells expressing GPCRs, which upon activation results in reporter gene expression. This work highlights the potential for droplet microfluidics to increase the throughput of GPCr functional assays.
  • 30.Fu X, Zhang Y, Xu Q, Sun X & Meng F Recent Advances on Sorting Methods of High-Throughput Droplet-Based Microfluidics in Enzyme Directed Evolution. Front Chem 2021, 9:666867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Yasi EA, Kruyer NS & Peralta-Yahya P Advances in G protein-coupled receptor high-throughput screening. Curr Opin Biotechnol 2020, 64, 210–217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lengger B & Jensen MK Engineering G protein-coupled receptor signalling in yeast for biotechnological and medical purposes. Fems Yeast Res 2020, 20:foz087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Yasi EA, Allen AA, Sugianto W & Peralta-Yahya P Identification of Three Antimicrobials Activating Serotonin Receptor 4 in Colon Cells. ACS Synth Biol 2019, 8, 2710–2717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kapolka NJ et al. DCyFIR: a high-throughput CRISPR platform for multiplexed G protein-coupled receptor profiling and ligand discovery. Proc Natl Acad Sci USA 2020, 117, 13117–13126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Miettinen K. et al. A GPCR-based yeast biosensor for biomedical, biotechnological, and point-of-use cannabinoid determination. Nat Commun 2022, 13(1): 3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Marquez-Gomez PL et al. Discovery of 8-Hydroxyquinoline as a Histamine Receptor 2 Blocker Scaffold. ACS Synth Biol 2022, 11, 2820–2828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. *. Rowe JB, Taghon GJ, Kapolka NJ, Morgan WM & Isom DG CRISPR-addressable yeast strains with applications in human G protein?coupled receptor profiling and synthetic biology. J Biol Chem 2020, 295, 8262–8271. A GPCR/ trapped peptide system reports on the activation of SSTR5 with a peptide agonist, SRIF-14. The system could be adapted to screen peptide libraries for GPCR modulation.
  • 38. *. Billerbeck S. et al. A scalable peptide-GPCR language for engineering multicellular communication. Nat Commun 2018, 9 (1): 5057. Baker’s yeast is engineered to provide GPCR-based sensor for fungal peptide pheromones. Yeast is also engineered to secrete fungal peptide pheromones. Communication between peptide secreting and peptide sensing yeasts is shown.
  • 39.Kruyer NS et al. Membrane Augmented Cell-Free Systems: A New Frontier in Biotechnology. ACS Synth Biol 2021, 10, 670–681. [DOI] [PubMed] [Google Scholar]
  • 40. *. Thames AH et al. A Cell-Free Protein Synthesis Platform to Produce a Clinically Relevant Allergen Panel. ACS Synth Biol 2023, 12, 2252–2261. Cell-free protein system (CFPS) produces peptide allergens, which can be analyzed for antibody binding via an ELISA-type assay.

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