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AI Designs Miniprotein Switches for GPCR Targeting

Many scientists first encountered G protein–coupled receptors (GPCRs) as a looping sketch across the cell membrane in an early biology textbook. That simple diagram belied the complexity of a receptor family now known to govern vision, smell, hormone sensing,

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Many scientists first encountered G protein–coupled receptors (GPCRs) as a looping sketch across the cell membrane in an early biology textbook. That simple diagram belied the complexity of a receptor family now known to govern vision, smell, hormone sensing, and the actions of countless medicines. Yet despite their centrality, designing molecules that can precisely switch GPCRs on or off has remained one of drug discovery’s most persistent challenges.

A new study led by the UW Medicine Institute for Protein Design and Skape Bio demonstrates that AI‑driven de novo protein design can finally meet that challenge. The work, published recently in Nature, shows that computationally designed miniproteins—compact proteins under 100 amino acids—can be engineered to either activate or block GPCRs with high affinity, potency, and selectivity. The paper is titled “De novo design of miniproteins targeting G protein-coupled receptors.”

The research team developed a suite of design strategies to create miniproteins capable of slipping into the deep, flexible pockets that govern GPCR signaling. These pockets shift shape depending on whether the receptor is active or inactive, making them difficult to target with conventional biologics. By designing molecules that recognize specific receptor states, the team generated agonists for receptors involved in itch and pain, and antagonists for receptors implicated in cancer, metabolic disease such as diabetes and obesity, and migraine.

Cryo‑EM structures of five designed miniproteins closely matched their computational models, underscoring the accuracy of the design pipeline. In one mouse study, a designed chemokine‑receptor antagonist mobilized hematopoietic stem and progenitor cells at levels comparable to a clinically used drug—but with fewer side effects, according to the authors.

For first author Edin Muratspahić, PhD, the moment of validation came when the designed molecules did more than bind. “Seeing computationally designed miniproteins not only bind but actually control GPCR signaling in living cells was a defining moment for me,” he said.

A second major advance reported in the study is a high‑throughput “receptor diversion” screening system that evaluates tens of thousands of designed proteins directly in living human cells. Traditional GPCR screens often require purifying or stabilizing receptors—steps that can distort their natural signaling behavior. By keeping receptors in their native membrane environment, the new system accelerates discovery while preserving biological relevance.

According to corresponding author Christoffer Norn, PhD, co‑founder of Skape Bio, the study lays out a roadmap for all‑computational design of GPCR ligands.

The methods described in the paper are already being adapted at Skape Bio to explore GPCR targets involved in metabolic, inflammatory, and neurologic pathways—areas where conventional discovery efforts have often struggled.

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Related questions

01Undruggable or unscreenable?

Another obstacle to discovering new PPI inhibitors is the lack of libraries designed to hunt for them, points out Philippe Roche, PhD, senior scientist at the Integrative Structural and Chemical Biology team at the Cancer Research Center of Marseilles, France. “If you screen PPIs using libraries that were designed for kinases or GPCRs, that’s why you don’t get a lot of good results,” he says. To that end, his group began assembling a library focused on orthosteric inhibitors of PPIs. The result was 2P2Idb, a hand-curated, structural database cataloguing orthosteric inhibitors of PPIs for which the interface had been 3D characterized. From analyzing these known PPI inhibitors, and what structures they had in common, Roche and his colleagues developed a model to predict whether compounds would likely inhibit PPIs. Using this method, 2P2Idb creates an enriched screening library that dramatically increases the hit rate compared to standard libraries. Having proven their success with a small library of 1600 compounds, they are in the process of expanding the library to 10,000 compounds. Once that’s published, “the idea is to make this library available to labs around the world,” Roche says. “We will provide the library free of charge for people to be able to screen PPI targets.”

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02How stable is the antibody?

A crucial question often addressed during preclinical development focuses on the in vivo stability of therapeutic antibodies. Increasing the half-life of a therapeutic antibody has several benefits ranging from higher treatment efficacy to increased advantages for the patients who will have a fewer number of therapy sessions and a reduced cost. Given these compelling benefits, following the identification of therapeutic antibodies with the desired specificity, developers usually subject them to a refinement step to increase their stability. This process is often hindered by the lack of reliable experimental tools to predict the half-life of antibodies in patients. The major hurdle of using mouse models to predict antibody stability in the serum lies in the way immunoglobulin proteins are processed by the organism. In mammals, most proteins circulating in the serum undergo constant uptake by endothelial cells and are routed through the endosomes to the lysosomal compartment for degradation. In the endosomes, immunoglobulin G (IgG) proteins are recognized and bound by a transmembrane protein, called the neonatal Fc receptor (FcRn), which mediates their recycling to the plasma membrane and subsequent release back into the serum. As a result, the half-life of IgGs are significantly extended by this mechanism. Since most therapeutic antibodies belong to the IgG class, this recycling system is very relevant for their relative stability in the body. Remarkably, the relative affinity between IgGs and FcRn is extremely disparate between different species, with the mouse receptor showing a much higher affinity than its human counterpart.

Source: www.genengnews.com ↗
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Peptide Therapy Guide Editorial Team

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