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Model Medicines Unveils Groundbreaking AI Drug Discovery Advances in New Chemistry and New Biology with Two New Preprint Papers

model medicines (PRNewsfoto/Model Medicines)

News provided by

Model Medicines

Apr 09, 2024, 08:00 ET

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LA JOLLA, Calif., April 9, 2024 /PRNewswire/ -- Model Medicines, a leading human health company specializing in generative AI-driven drug discovery, today announced the publication of two significant preprint papers on bioRxiv detailing major advances in antiviral and oncology drug discovery.

The preprint, titled "Discovery of RdRp Thumb-1 as a novel broad-spectrum antiviral family of targets and MDL-001 as a potent broad-spectrum inhibitor thereof - Part I: A Bioinformatics and Deep Learning Approach", showcases how Model Medicines researchers leveraged their proprietary GALILEO AI platform to identify the RdRp Thumb-1 site as a novel target for broad-spectrum antivirals against a range of RNA viruses. Using bioinformatics and deep learning, they also found MDL-001 to be a promising orally bioavailable broad-spectrum antiviral that blocks the RdRp Thumb-1 site. Importantly, the research demonstrates how their AI approach bypassed pitfalls of conventional in silico screening methods to zero in on MDL-001, which has now demonstrated potent in vitro and in vivo antiviral activity.

In the second preprint, "ChemPrint: An AI-Driven Framework for Enhanced Drug Discovery", Model Medicines details their foundational GALILEO AI platform and its core ChemPrint deep learning model for molecular property prediction. By employing adaptive molecular embeddings and rigorous model training and validation methods, ChemPrint substantially outperformed conventional AI approaches. In a prospective study, ChemPrint achieved a remarkable 45.5% in vitro hit rate in identifying novel inhibitors of AXL and BRD4, two highly challenging, previously "undruggable" oncology targets. Notably, the discovered hits were chemically distinct from known inhibitors, demonstrating ChemPrint's ability to explore novel chemical spaces for drug discovery effectively.

"These two preprint papers, combined with our recent success in discovering new pan-antiviral chemical entities with an unprecedented 66.7% hit rate, represent a quantum leap in our ability to leverage AI for transformative drug discoveries," said Dr. Daniel Haders, CEO and Founder of Model Medicines. "By efficiently navigating deep chemical space and accurately predicting the most promising compounds, we can significantly accelerate the development of novel, best-in-class therapeutics for diseases of high, unmet medical need, from broad-spectrum antivirals to cancer treatments. We are excited to advance MDL-001 as a potential broad-spectrum oral antiviral and to leverage our platform for further groundbreaking discoveries."

Davey Smith, MD, MAS, FACP, FIDSA, Senior Clinical Advisor to Model Medicines and a renowned infectious disease specialist at UC San Diego Health, commented: "Model Medicines' discovery of MDL-001 as a potent broad-spectrum antiviral inhibiting the novel RdRp Thumb-1 target is a game-changer. As we've seen with the devastating consequences of the COVID-19 pandemic, the world desperately needs rapidly deployable, broad-spectrum antivirals that can effectively combat novel pathogens from the moment an outbreak occurs. Model Medicines' AI-driven approach is poised to revolutionize how we develop and deploy antiviral therapeutics, potentially saving millions of lives and transforming our capacity to confront future pandemics head-on."

The preprints are now available on bioRxiv. Model Medicines anticipates publishing the findings in peer-reviewed journals and presenting additional data at upcoming scientific conferences. These findings follow the company's recent announcement of an unprecedented 66.7% hit rate in discovering new chemical entities that have pan-antiviral activity using its proprietary AI platform.

PAPERS: 
Discovery of RdRp Thumb-1 as a novel broad-spectrum antiviral family of targets and MDL-001 as a potent broad-spectrum inhibitor thereof - Part I: A Bioinformatics and Deep Learning Approach
ChemPrint: An AI-Driven Framework for Enhanced Drug Discovery

ABOUT MODEL MEDICINES:
Model Medicines is a generative AI-driven human health company that uses AI to model all of chemistry and human biology to accelerate the creation of life-changing drugs. The company was founded in 2019 to deliver on the promise of AI drug discovery. With more than 192 compounds for 26 targets, they are delivering on the promise of AI drug discovery. The company has developed a robust pipeline of patent-pending therapeutics for oncology, infectious diseases, gastric disorders, neurological disorders, and weight disorders. The company is based in La Jolla, CA. To learn more, visit www.modelmedicines.com

SOURCE Model Medicines

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Model Medicines, Icahn School of Medicine at Mount Sinai, and University of California, San Diego Researchers Publish Groundbreaking Preprint on MDL-001, A Broad-Spectrum Antiviral

Model Medicines, Icahn School of Medicine at Mount Sinai, and University of California, San Diego Researchers Publish Groundbreaking Preprint on MDL-001, A Broad-Spectrum Antiviral

Model Medicines, a pioneering biotech company focused on developing first-in-class therapeutics addressing urgent global health challenges, today...

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