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Systematic Discovery of Molecular Glues Targets Protein Degradation in Leukemia

Cells monitor and recycle their proteins through a tightly regulated waste-disposal system. Proteins that are no longer needed are tagged and broken down by specialized cellular machinery. Recent advances in drug discovery seek to exploit this system by redire

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Cells monitor and recycle their proteins through a tightly regulated waste-disposal system. Proteins that are no longer needed are tagged and broken down by specialized cellular machinery. Recent advances in drug discovery seek to exploit this system by redirecting it toward disease-relevant targets.

One strategy relies on molecular glues—small molecules that induce interactions between proteins that would not normally bind to each other. If a disease-causing protein can be brought into contact with a cellular degradation enzyme, it is selectively eliminated by the cell itself.

A new method took a systematic approach to the discovery of new molecular glues: starting from a small molecule that already binds to a target protein, researchers generated thousands of chemical variants by systematically attaching different molecular building blocks. Each variant subtly reshapes the surface of the protein, potentially enabling new protein–protein interactions.

The compounds were screened directly in living cells, without prior purification, using a sensitive assay that reports whether the target protein is being degraded. This enabled rapid identification of active compounds from a vast chemical space.

This work is published in Nature Chemical Biology in the paper, “High-throughput ligand diversification to discover chemical inducers of proximity.”

“Our approach combines high-throughput chemistry with functional testing in cells,” says Miquel Muñoz i Ordoño, a PhD student in the lab of Georg Winter, scientific director at the AITHYRA Research Institute for Biomedical Artificial Intelligence and adjunct principal investigator at the CeMM Research Center for Molecular Medicine in Vienna, Austria. “This allows us to explore chemical diversity at a scale that was previously impractical, while immediately seeing which compounds have a desired biological effect.”

The researchers focused on ENL, a protein that plays a central role in certain forms of acute leukemia. From several thousand tested compounds, the team identified a molecule that efficiently and selectively triggers degradation of ENL in leukemia cells. Further analyses showed that the compound primarily affects ENL and downstream gene programs controlled by this protein, leading to a strong reduction in the growth of ENL-dependent leukemia cells. They also revealed that the compound acts through a cooperative mechanism characteristic of molecular glues. Rather than binding strongly to all interaction partners, it first binds ENL and then creates a new interaction surface that recruits a cellular ubiquitin ligase, which marks ENL for degradation.

“This cooperative mode of action is what makes molecular glues both powerful and selective,” explains Winter. “The compound only becomes active in the right molecular context, which helps limit unwanted effects.”

Beyond the specific example of ENL, the study demonstrates a broadly applicable discovery strategy. By combining high-throughput chemistry with functional screening in cells, the researchers show how the identification of molecular glues can be transformed from a serendipitous process into a systematic workflow.

“Our goal is to make proximity-inducing drugs discoverable in a rational and scalable way,” says Winter. “In the long term, this could open up entirely new therapeutic opportunities for proteins that were previously considered undruggable.”

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Related questions

01How 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 ↗
02Undruggable 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 ↗
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Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

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