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

Educational guide

Bayer, X-Chem Expand Drug Discovery Collaboration

Bayer and X-Chem Pharmaceuticals have expanded a global drug discovery collaboration launched in 2012 across multiple therapeutic areas and target classes. The expanded partnership could generate up to $528 million-plus for X-Chem. The companies agreed to exte

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.

Bayer and X-Chem Pharmaceuticals have expanded a global drug discovery collaboration launched in 2012 across multiple therapeutic areas and target classes. The expanded partnership could generate up to $528 million-plus for X-Chem.

The companies agreed to extend Bayer's access to X-Chem's DNA-Encoded X-Chem (DEX™) technology, which is based on DNA-encoded libraries of small molecules with more than 120 billion molecules. The new multiyear agreement will significantly expand the scope and duration of the collaboration, which aims to discover innovative lead structures for complex drug targets in areas of high unmet medical need.

Through the DEX library, X-Chem says, it can discover multiple series of novel, potent, and selective lead compounds at an unprecedented rate of success against a wide range of targets, including some that previously failed using conventional screening methods.

The company says its proprietary library design, screening methodology, and bioinformatics, as well as its approach to library construction, allow for additional chemical reactions to become usable in DNA-encoded library synthesis. These features, according to X-Chem, yield a much greater repertoire of diversity for small molecules, covering categories that include fragment molecules, small-molecular-weight heterocyclic compounds, and macrocyclic structures.

“We have identified the DEX platform as a highly valuable extension for our drug discovery efforts. We are looking forward to working with X-Chem on some of our highest-priority targets, for which X-Chem's platform is ideally suited,” Professor Andreas Busch, member of the Executive Committee of Bayer's Pharmaceuticals Division and head of drug discovery, said in a statement.

Bayer has an exclusive option to license any programs generated through the collaboration.

In return, Bayer agreed to pay X-Chem an upfront payment, R&D funding, as well as potential preclinical, clinical, and regulatory milestone payments totaling up to $528 million. Bayer also agreed to pay X-Chem royalties and sales milestones for each successfully commercialized drug that results from a licensed collaboration program.

Bayer previously licensed two programs for multiple series of small molecules from X-Chem that address complex target structures such as protein–protein interactions. In February 2014, X-Chem licensed to Bayer an early-stage drug discovery program directed against an epigenetic drug target, after achieving an unspecified success milestone. Later that year, X-Chem licensed a second program consisting of several series of small molecule compounds against a cardiovascular drug target.

Bayer is among several pharma giants that have inked collaborations with privately-held X-Chem; others include AstraZeneca, Pfizer, and Roche. “With multiple successes across our partnerships, the DEX™ platform has been broadly validated to deliver novel chemical entities against a wide array of targets, including difficult targets,” added X-Chem CEO Rick Wagner, Ph.D.

Founded in 2009, X-Chem formed a strategic partnership, including an investment, a year later with Pharmaceutical Product Development, LLC. PPD acquired all remaining interests in X-Chem in 2014.

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 →