TwoXAR and University of Chicago in atherosclerosis collaboration

TwoXAR is to collaborate with the Department of Medicine at the University of Chicago to identify and investigate potential new medicines for treating atherosclerosis.

As part of this collaboration, twoXAR will use its disease-to-candidate prediction software to integrate and analyse diverse biomedical data sets to predict efficacious drug candidates for in vivo testing.

Researchers at the University of Chicago will test the effectiveness of predicted drug candidates in promoting vascular endothelial health and in preventing atherosclerosis. Cultured endothelial cells treated with the predicted molecules will be stimulated by tumour necrosis factor alpha (TNFα) in vitro followed by in vivo testing in animal models of atherosclerosis. twoXAR will provide scientific expertise to assist the Department of Medicine at the University of Chicago in the selection and delivery of candidates for preclinical study.

10 leads identified within hours

Commenting on the collaboration, Andrew A. Radin, co-founder and CEO of twoXAR, said: “We are very excited about this collaboration which will further validate the power of our software-driven approach in accelerating the discovery of new medicines for diseases like CAD which affects millions of people worldwide. Arriving at lead compounds to carry forward in preclinical studies can require years of research and millions of dollars. Within hours, we were able to identify 10 leads with acceptable safety profiles and literature evidence for efficacy to carry forward in preclinical testing. Additionally, our disease models are helping reveal new information about the molecular mechanisms underlying arteriosclerosis.”

Yun Fang, PhD, Assistant Professor, Department of Medicine, University of Chicago, added: “Better medicines that not only address the symptoms of atherosclerosis, but help prevent it all together, represents an important opportunity to help millions of people around the world who suffer from the health effects of arterial plaque buildup.”

twoXAR has developed patent‐pending algorithms that enable it to find unanticipated associations between disease and drug candidates orders of magnitudes faster than wet lab‐based approaches. The company’s integrative biomedical software platform rapidly evaluates massive public and proprietary datasets to identify and rank high probability disease‐to‐candidate matches. These matches can then be used to prioritize existing candidates, perform targeted searches and identify novel drug candidates for further preclinical and clinical testing.

The platform is disease agnostic and has been tested on more than 40 conditions to date in therapeutic areas including autoimmune, oncologic, and neurologic disorders.