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Skape Bio Unlocks Generalizable GPCR Drugs Using AI Protein Design

The year was 2022. Chris Norn, PhD, was wrapping up his time as a postdoctoral researcher at the Institute for Protein Design (IPD) at University of Washington (UW). AlphaFold was taking the field by storm, while a new generation of deep learning tools was rap

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The year was 2022. Chris Norn, PhD, was wrapping up his time as a postdoctoral researcher at the Institute for Protein Design (IPD) at University of Washington (UW). AlphaFold was taking the field by storm, while a new generation of deep learning tools was rapidly advancing de novo, or from-scratch, protein design with unprecedented success rates validated at atomic resolution. Within just a few years, these AI breakthroughs, widespread applications across pharmaceuticals, nanomaterials, biosensors, and more, would help earn Norn’s mentor, David Baker, PhD, the Nobel Prize in Chemistry.

“There’s so much dark space in biology. The precision of protein design was becoming incredible.” said Norn in an interview GEN. “Designing function from scratch is going to be incredibly impactful for treating diseases.”

Norn’s research investigated the subtle structural differences that caused G-protein-coupled receptors (GPCRs) to change conformation from a healthy state to disease driver. These integral membrane proteins are the largest protein family encoded by the human genome and represent approximately one-third of drug targets, across cancer, metabolic disease, and neurological disorders. Yet, they are traditionally difficult to hit because their accessible regions barely protrude from the cell membrane.

Today, Norn is co-founder and CEO of Skape Bio, a Copenhagen-based AI protein design company building a generalizable platform to target underexplored GPCRs and treat diseases once deemed undruggable. The team has published a new study in Nature demonstrating the design of functional miniproteins that target 11 GPCRs across a diversity of receptor families implicated in itch and pain, cancer, metabolic disorders, and migraine, with examples that penetrate deeply into hard-to-reach GPCR pockets. Notably, agonists were validated against three targets.

In a key example, the study designed a chemokine receptor antagonist that mobilizes hematopoietic stem and progenitor cells in a mouse model at a level comparable to a clinically used drug, with fewer side effects.

At the core of Skape Bio’s technology stack is a proprietary high-throughput platform that screens GPCRs directly within their native membrane environment, enabling accurate measurement of how conformational changes influence cell signaling and function. The approach represents a significant advance over traditional screening methods, which remove GPCRs from their membrane-embedded context and can fail to capture native structural dynamics. Over 100,000 miniprotein designs can be screened per target on a single-platform campaign.

Edin Muratspahić, PhD, postdoctoral research scholar at UW and co-corresponding author of the Nature study, highlights that the rise of de novo models, such as Baker lab’s RFdiffusion, has fueled the growing momentum for protein-based GPCR drugs. Compared to small molecules, protein therapeutics offer high selectivity, protease stability, and extended half-life. Notably, the small size of miniproteins allows better tissue penetration compared to antibodies.

“Many GPCRs remain underexplored because we didn’t have the tools to look at their pharmacology,” Muratspahić told GEN. “We’re excited to illuminate new biology beneficial to developing better and safer protein-based therapeutics.”

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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.”

Source: www.genengnews.com ↗
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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