Independent education resourceInformation here does not replace care from a qualified health professional.
Peptide Therapy GuideClear peptide education

Educational guide

Screening for Druggable RNA Targets Opens Door to Drug Development

There is enormous potential in the large, noncoding transcriptome to encode disease variants. This makes RNAs appealing targets for drug discovery. Although early prospects did not have good drug-like properties, the search for RNA-binding small molecules has

Written by Peptide Therapy Guide Editorial Team
For education only

This guide cannot diagnose a condition or recommend a personal treatment plan. Discuss medical questions with a qualified professional.

There is enormous potential in the large, noncoding transcriptome to encode disease variants. This makes RNAs appealing targets for drug discovery. Although early prospects did not have good drug-like properties, the search for RNA-binding small molecules has intensified in recent years.

However, scalable methods to screen RNA-targeting compounds are currently lacking. Now, a study that devised an unbiased screen based on affinity-selection mass spectrometry offers powerful evidence that RNA could be a viable target for drug development. The screening strategy identified small molecules that bind the noncoding RNA prototype Xist. The work suggests that a new class of biological factors numbering in the thousands can be targeted and thereby heralds a new era in drug development.

This work is published in Nature in the paper, “Targeting Xist with compounds that disrupt RNA structure and X inactivation.”

Nearly all currently available drugs target one of approximately 700 disease-related proteins among the roughly 20,000 human proteins identified by the Human Genome Project. However, in recent years there has been growing interest in expanding the list of “druggable” targets to include RNA.

The vast majority of RNA in the human genome—98%—is “noncoding.” “These noncoding RNAs play very important roles in the genome, and we now understand that mutations in this noncoding space can result in disease,” said Jeannie Lee, MD, PhD, professor of genetics at Harvard Medical School. “And there may be far more of these RNA genes than there are protein-coding genes. If we could target these RNAs, we would hugely increase the universe in which we can find drugs to treat patients.”

However, the pharmaceutical industry has historically been hesitant to pursue RNA as a drug target. Proteins tend to have stable shapes, or conformations, which make them optimal targets: Drugs bind to proteins like a key in a lock. By contrast, explained Lee, RNA tends to be highly flexible, or “floppy,” and capable of assuming multiple conformations. “If a lock is constantly changing shape, your key is not going to work,” said Lee.

Noncoding RNA’s unstable nature has made companies reluctant to invest in trying to develop medications that target it. However, it’s known that some regions on RNA retain stable conformations, despite all of that shape-shifting, but finding such regions has been a challenge.

Rodrigo Aguilar, PhD, a postdoc in the Lee lab, led a study to find out if RNA could be a viable drug target, using the model of X-chromosome inactivation (XCI), which deactivates one copy of the X chromosome in female mammals and is necessary for normal development. The focus of the study was a form of the noncoding RNA Xist, which silences genes on the X chromosome. Finding a way to interfere with this process and reactivate a dormant X chromosome could help guide development of treatments for genetic disorders caused by mutations on the X chromosome (known as X-linked disorders), such as Rett syndrome and Fragile X syndrome.

The team screened Xist against a library of 50,000 small molecule compounds and found several that bind to a region called Repeat A (RepA) on Xist. One compound, named X1, prevented several key proteins, PRC2 and SPEN, from binding to RepA, which is necessary for Xist to silence the X chromosome. “As a result, X inactivation cannot take place,” said Lee.

Structural biology revealed that, Xist’s RepA can normally assume 16 different conformations. But X1 caused it to adopt a more uniform shape. This structural change prevented RepA from binding with PRC2 and SPEN.

The approach employed in this study could be used to identify other RNA-targeting drugs. “This really opens up a large universe for new drug development,” said Lee. “Now we don’t just have 700 proteins to target using small molecules. In the future, we may have tens and possibly hundreds of thousands of RNAs to target to cure disease.”

Connected reading

Helpful context for this guide

Source-derived material selected through this article’s indexed topics.

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 ↗
P

About the author

Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

View all articles →